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Found 33 result(s)
Scholars' Bank is the open access repository for the intellectual work of faculty, students and staff at the University of Oregon and partner institution collections.
OHSU Digital Commons is a repository for the scholarly and creative work of Oregon Health & Science University. Developed by the OHSU Library, Digital Commons provides the university community with a platform for publishing and accessing content produced by students, faculty, and staff. OHSU Digital Commons documents the history and growth of the university, as well as current progress in education, research, and health care.
<<<!!!<<< The repository is no longer available. further information and data see: Oxford University Research Archive: https://www.re3data.org/repository/r3d100011230 >>>!!!>>>
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With Open Science OVGU the Otto-von-Guericke University provides its scientists with a research data repository. Measurement data, laboratory values, survey data, methodical test procedures, etc. can be archived in Open Science OVGU and made available to the scientific community via Open Access.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> Message since 2018-06: This virtual host is being reconstructed.
The UBIRA eData repository is a multidisciplinary online service for the registration, preservation and publication of research datasets produced or collected at the University of Birmingham. It is part of the University of Birmingham Research Archive (UBIRA).
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.
ANPERSANA is the digital library of IKER (UMR 5478), a research centre specialized in Basque language and texts. The online library platform receives and disseminates primary sources of data issued from research in Basque language and culture. As of today, two corpora of documents have been published. The first one, is a collection of private letters written in an 18th century variety of Basque, documented in and transcribed to modern standard Basque. The discovery of the collection, named Le Dauphin, has enabled the emerging of new questions about the history and sociology of writing in the domain of minority languages, not only in France, but also among the whole Atlantic Arc. The second of the two corpora is a selection of sound recordings about monodic chant in the Basque Country. The documents were collected as part of a PhD thesis research work that took place between 2003 and 2012. It's a total of 50 hours of interviews with francophone and bascophone cultural representatives carried out at either their workplace of the informers or in public areas. ANPERSANA is bundled with an advanced search engine. The documents have been indexed and geo-localized on an interactive map. The platform is engaged with open access and all the resources can be uploaded freely under the different Creative Commons (CC) licenses.
An increasing number of Language Resources (LT) in the various fields of Human Language Technology (HLT) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community. Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.
The Global Carbon Atlas is an online platform to explore, visualize and interpret global and regional carbon data arising from both human activities and natural processes. The graphics and data sources are made available in the belief that their wide dissemination will lead to new knowledge and better-informed decisions to limit and cope with human-induced climate change. The Global Carbon Atlas is a community effort under the umbrella of the Global Carbon Project based on the contributions of many research institutions and individual scientists around the world who make available observations, models, and interpretation skills.
Cell phones have become an important platform for the understanding of social dynamics and influence, because of their pervasiveness, sensing capabilities, and computational power. Many applications have emerged in recent years in mobile health, mobile banking, location based services, media democracy, and social movements. With these new capabilities, we can potentially be able to identify exact points and times of infection for diseases, determine who most influences us to gain weight or become healthier, know exactly how information flows among employees and productivity emerges in our work spaces, and understand how rumors spread. In an attempt to address these challenges, we release several mobile data sets here in "Reality Commons" that contain the dynamics of several communities of about 100 people each. We invite researchers to propose and submit their own applications of the data to demonstrate the scientific and business values of these data sets, suggest how to meaningfully extend these experiments to larger populations, and develop the math that fits agent-based models or systems dynamics models to larger populations. These data sets were collected with tools developed in the MIT Human Dynamics Lab and are now available as open source projects or at cost.
<<<!!!<<< This repository is no longer available. >>>!!!>>> The sequencing of several bird genomes and the anticipated sequencing of many more provided the impetus to develop a model organism database devoted to the taxonomic class: Aves. Birds provide model organisms important to the study of neurobiology, immunology, genetics, development, oncology, virology, cardiovascular biology, evolution and a variety of other life sciences. Many bird species are also important to agriculture, providing an enormous worldwide food source worldwide. Genomic approaches are proving invaluable to studying traits that affect meat yield, disease resistance, behavior, and bone development along with many other factors affecting productivity. In this context, BirdBase will serve both biomedical and agricultural researchers.
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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.
The Digital Repository at the University of Maryland (DRUM) collects, preserves, and provides public access to the scholarly output of the university. Faculty and researchers can upload research products for rapid dissemination, global visibility and impact, and long-term preservation.
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The Canine Inherited Disorders Database (CIDD) is a joint initiative of the Sir James Dunn Animal Welfare Centre at the Atlantic Veterinary College, University of Prince Edward Island, and the Canadian Veterinary Medical Association. The goals of the database are to reduce the incidence of inherited disorders in dogs by providing information to owners and breeders, and to facilitate the best management possible of these conditions by providing current information to veterinarians.
Hourly "Near-Earth" solar wind magnetic field and plasma data, energetic proton fluxes (>1 to >60 MeV), and geomagnetic and solar activity indices. OMNIWeb is part of "Space Physics Data Facility" (https://www.re3data.org/repository/r3d100010168 ).
<<<!!!<<<We are moving content from our Hydra repository (hydra.hull.ac.uk) to new repositories.>>>!!!>>> Hydra is a repository for digital materials at the University of Hull. It can hold and manage any type of digital material, and is being developed in response to the growth in the amount of digital material that is generated through the research, education and administrative activities within the University. Hydra contains different collections of datasets from University of Hull research projects as: ARCdoc, domesday dataset, History of Marine animal Populations (HMAP) and others.
Chapman University Digital Commons is an open access digital repository and publication platform designed to collect, store, index, and provide access to the scholarly and creative output of Chapman University faculty, students, staff, and affiliates. In it are faculty research papers and books, data sets, outstanding student work, audiovisual materials, images, special collections, and more, all created by members of or owned by Chapman University. The datasets are listed in a separate collection.
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The vocabulary of forenames is a simple, multilingual vocabulary (i.e. without hierarchies etc.) in which the forenames of the project partners’ persons and the forenames’ spelling variants, both historical and dialectal, are documented with references or passages. As a rule, each forename is assigned one or more persons bearing that name. There is a hit list of the most frequent forenames between 200 BC and AD 2016 as well as a visualisation in word clouds and the occurrences in a timeline.
Welcome to the York Research Database, where you can find all our research staff, projects, publications and organisational units, and explore the connections between them all. The university of York is a member of the Russell Group of research-intensive universities.