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Found 274 result(s)
CORD is Cranfield University's research data repository, for secure preservation of institutional research data outputs. Cranfield is an exclusively postgraduate university that is a global leader for transformational research in technology and management. We are focused on the specialist themes of aerospace, defence and security, energy and power, environment and agrifood, manufacturing, transport systems, and water. The Cranfield School of Management is world leader in management education and research.
The online digital research data repository of multi-disciplinary research datasets produced at the University of Nottingham, hosted by Information Services and managed and curated by Libraries, Research & Learning Resources. University of Nottingham researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset.
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GAMS is an OAIS compliant asset management system for the management, publication and long-term archiving of digital resources from the Humanities.
OLOS is a Swiss-based data management portal tailored for researchers and institutions. Powerful yet easy to use, OLOS works with most tools and formats across all scientific disciplines to help researchers safely manage, publish and preserve their data. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, OLOS can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on OLOS to complement what they have already implemented. OLOS is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
The University of Toronto Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available publicly, to specific individuals, or to restrict access.
MIDRC aims to develop a high-quality repository for medical images related to COVID-19 and associated clinical data, and develop and foster medical image-based artificial intelligence (AI) for use in the detection, diagnosis, prognosis, and monitoring of COVID-19.
The UK Polar Data Centre (UK PDC) is the focal point for Arctic and Antarctic environmental data management in the UK. Part of the Natural Environmental Research Council’s (NERC) network of environmental data centres and based at the British Antarctic Survey, it coordinates the management of polar data from UK-funded research and supports researchers in complying with national and international data legislation and policy.
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Portal Zarządzania Wiedzą UJ CM is a knowledge and research potential management platform of medical information. Easy data localization will be possible thanks to DOI and URL addresses given by administrators of the Knowledge Management Platform JU MC. The data will be stored in 2 copies for 10 years.
<<<!!!<<< As of 2017-05-17 the data catalog is no longer available >>>!!!>>> DataFed is a web services-based software that non-intrusively mediates between autonomous, distributed data providers and users. The main goals of DataFed are: Aid air quality management and science by effective use of relevant data - Facilitate the access and flow of atmospheric data from provider to users - Support the development of user-driven data processing value chains. DataFed Catalog links searchable Datafed applications worldwide.
BIOS is a system designed to enable the management, visualization, and analysis of biogeographic data collected by the California Department of Fish and Wildlife and its partner organizations. BIOS integrates GIS, relational database management, and ESRI's ArcGIS Server technology to create a statewide, integrated information management tool that can be used on any computer with access to the Internet.
EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe
DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system that allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites. All sites and dataset records can be referenced using unique identifiers that are generated by DEIMS-SDR. It is possible to search for sites via keyword, predefined filters or a map search. By including accurate, up to date information in DEIMS, site managers benefit from greater visibility for their LTER site, LTSER platform and datasets, which can help attract funding to support site investments. The aim of DEIMS-SDR is to be the globally most comprehensive catalogue of environmental research and monitoring facilities, featuring foremost but not exclusively information about all LTER sites on the globe and providing that information to science, politics and the public in general.
VADS is the online resource for visual arts. It has provided services to the academic community for 12 years and has built up a considerable portfolio of visual art collections comprising over 100,000 images that are freely available and copyright cleared for use in learning, teaching and research in the UK. VADS provides: expert guidance and help for digital projects in art education; resource development and hosting for art education; project management and consultancy for art education; leadership in the innovative use of ICT in education through its research and development activities. VADS offers advice and guidance to the visual arts research, teaching and learning communities on all aspects of digital resource management from funding, through delivery and use, to preservation.
ICD serves as the international standard for diagnostic classification for all general epidemiological, many health management purposes and clinical use. The ICD's resources include the analysis of different population groups' general health situations, monitoring of the incidence and prevalence of diseases in relation to the characteristics of the individuals affected, reimbursement, resource allocation, quality, and guidelines. The records provide the basis for the compilation of national mortality and morbidity statistics, and enable the storage and retrieval of diagnostic information for clinical epidemiological and quality purposes.
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The USN Research Data Archive is an institutional archive where research data produced and collected by University of South-East Norway's reseachers can be stored, made visible and accessible. The researcher can apply the necessary licenses and possibly put embargo and access restrictions on the research data.
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<<<!!!<<< This repository is currently unavailable. >>>!!!>>> China Seismic Array Data Management Center(DOI:10.12001/ChinArray.Data) provides ChinArray data, China Air Gunshot experiment data, and China seismic networks data.
IRMA (Integrated Resource Management Applications) provides natural and cultural resources data from the National Park Service. Most entries are in the form of peer-reviewed publications, but some are raw data sets based on in-park research projects.
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The BCDC serves the research data obtained, and the data syntheses assembled, by researchers within the Bjerknes Centre for Climate Research. Furthermore it is open for all interested scientists independent of institution. All data from the different disciplines (e.g. geology, oceanography, biology, model community) will be archived in a long-term repository, interconnected and made publicly available by the BCDC. BCDC has collaborations with many international data repositories and actively archives metadata and data at those ensuring quality and FAIRness. BCDC has it's main focus on services for data management for external and internal funded projects in the field of climate research, provides data management plans and ensures that data is archived accordingly according to the best practices in the field. The data management services rank from project work for small external funded project to top-of-the-art data management services for research infrastructures on the ESFRI roadmap (e.g. RI ICOS – Integrated Carbon Observation System) and for provides products and services for Copernicus Marine Environmental Monitoring Services. In addition BCDC is advising various communities on data management services e.g. IOC UNESCO, OECD, IAEA and various funding agencies. BCDC will become an Associated Data Unit (ADU) under IODE, International Oceanographic Data and Information Exchange, a worldwide network that operates under the auspices of the Intergovernmental Oceanographic Commission of UNESCO and aims at becoming a part of ICSU World Data System.
In keeping with the open data policies of the U.S. Agency for International Development (USAID) and Bill & Melinda Gates Foundation, the Cereal Systems Initiative for South Asia (CSISA) has launched the CSISA Data Repository to ensure public accessibility to key data sets, including crop cut data- directly observed, crop yield estimates, on-station and on-farm research trial data and socioeconomic surveys. CSISA is a science-driven and impact-oriented regional initiative for increasing the productivity of cereal-based cropping systems in Bangladesh, India and Nepal, thus improving food security and farmers’ livelihoods. CSISA generates data that is of value and interest to a diverse audience of researchers, policymakers and the public. CSISA’s data repository is hosted on Dataverse, an open source web application developed at Harvard University to share, preserve, cite, explore and analyze research data. CSISA’s repository contains rich datasets, including on-station trial data from 2009–17 about crop and resource management practices for sustainable future cereal-based cropping systems. Collection of this data occurred during the long-term, on-station research trials conducted at the Indian Council of Agricultural Research – Research Complex for the Eastern Region in Bihar, India. The data include information on agronomic management for the sustainable intensification of cropping systems, mechanization, diversification, futuristic approaches to sustainable intensification, long-term effects of conservation agriculture practices on soil health and the pest spectrum. Additional trial data in the repository includes nutrient omission plot technique trials from Bihar, eastern Uttar Pradesh and Odisha, India, covering 2012–15, which help determine the indigenous nutrient supplying ability of the soil. This data helps develop precision nutrient management approaches that would be most effective in different types of soils. CSISA’s most popular dataset thus far includes crop cut data on maize in Odisha, India and rice in Nepal. Crop cut datasets provide ground-truthed yield estimates, as well as valuable information on relevant agronomic and socioeconomic practices affecting production practices and yield. A variety of research data on wheat systems are also available from Bangladesh and India. Additional crop cut data will also be coming online soon. Cropping system-related data and socioeconomic data are in the repository, some of which are cross-listed with a Dataverse run by the International Food Policy Research Institute. The socioeconomic datasets contain baseline information that is crucial for technology targeting, as well as to assess the adoption and performance of CSISA-supported technologies under smallholder farmers’ constrained conditions, representing the ultimate litmus test of their potential for change at scale. Other highly interesting datasets include farm composition and productive trajectory information, based on a 20-year panel dataset, and numerous wheat crop cut and maize nutrient omission trial data from across Bangladesh.