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Found 91 result(s)
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The Institutional repository collects, disseminates and preserves in digital form, the intellectual output that results from the academic and research activity of the Universitat Pompeu Fabra (UPF). Its Purpose is to Increase the impact of research done at the UPF and STIs intellectual memory.
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.
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DIGIBUG aims to collect, compile and organise the scientific, teaching and institutional digital documents produced by the University of Granada to support research, teaching and learning.
The Deep Blue Data repository is a means for University of Michigan researchers to make their research data openly accessible to anyone in the world, provided they meet collections criteria. Submitted data sets undergo a curation review by librarians to support discovery, understanding, and reuse of the data.
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The TRR228DB is the project-database of the Collaborative Research Centre 228 "Future Rural Africa: Future-making and social-ecological transformation" (CRC/Transregio 228, https://www.crc228.de) funded by the German Research Foundation (DFG, German Research Foundation – Project number 328966760). The project-database is a new implementation of the TR32DB and online since 2018. It handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne and Bonn) and research fields (e.g. anthropology, agroeconomics, ecology, ethnology, geography, politics and soil sciences). The data is resulting from several field campaigns, interviews, surveys, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected.
All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies. "The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
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idUS is the digital archive that gives access to full text of the scientific production of the University of Seville and their datasets. Its objective is to gather, preserve and disseminate the documents and data resulting from the scientific activity of the University, making the documents visible, accessible, recoverable, usable and preservable for any user.
The Jurisdictional Ocean Information Sharing System (JOISS) is a research activity to promote joint utilization of marine R&D projects and marine scientific materials at home and abroad. As a representative research activity, data curation activities are continuously carried out in accordance with the data life cycle to expand the utilization of the JOISS portal system. In order to provide integrated and standardized marine information, we are conducting standardization research for the distribution of marine geographic information metadata by referring to international standards and domestic and international marine data centers. In addition, we provide information and guidance for marine education and research, and strive to strengthen the exchange of data between marine research data repositories.
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The repository stores resources generated by this University. It is organized into five collections: theses and dissertations; teaching material to support online training courses; OA publications from the university press; and historical documentation (includes academic journals and monographs in Spanish (1875-1940) and original material on local educational institutions (16th-20th centuries).
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On this server you'll find 127 items of primary data of the University of Munich. Scientists / students of all faculties of LMU and of institutions that cooperate with the LMU are invited to deposit their research data on this platform.
DaSCH is the trusted platform and partner for open research data in the Humanities. DaSCH develops and operates a FAIR long-term repository and a generic virtual research environment for open research data in the humanities in Switzerland. We provide long-term direct access to the data, enable their continuous editing and allow for precise citation of single objects within a dataset. We ensure interoperability with tools used by the Humanities and Cultural Sciences communities and foster the use of standards. The development of our platform happens in close cooperation with these communities. We provide training and advice in the area of research data management, promote open data and the use of standards. DaSCH is the coordinating institution and representative of Switzerland in the European Research Infrastructure Consortium ‘Digital Research Infrastructure for the Arts and Humanities’ (DARIAH ERIC). Within this mandate, we actively engage in community building within Switzerland and abroad. DaSCH cooperates with national and international organizations and initiatives in order to provide services that are fit for purpose within the broader Swiss open research data landscape and that are coordinated with other institutions such as FORS. We base our actions on the values reliability, flexibility, appreciation, curiosity, and persistence. Furthermore, DARIAH’s activities in Switzerland are coordinated by DaSCH and DaSCH is acting as DARIAH-CH Coordination Office.
Research data from University of Pretoria. This data repository facilitates data publishing, sharing and collaboration of academic research, allowing UP to manage and in some cases showcase its data to the wider research community. Previously UPSpace (https://repository.up.ac.za/) was used for both datasets and research outputs. Now UP Research Data Repository is dedicated for datasets.
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BExIS is the online data repository and information system of the Biodiversity Exploratories Project (BE). The BE is a German network of biodiversity related working groups from areas such as vegetation and soil science, zoology and forestry. Up to three years after data acquisition, the data use is restricted to members of the BE. Thereafter, the data is usually public available (https://www.bexis.uni-jena.de/ddm/publicsearch/index).
With the Program EnviDat we develop a unified and managed access portal for WSL's rich reservoir of environmental monitoring and research data. EnviDat is designed as a portal to publish, connect and search across existing data but is not intended to become a large data centre hosting original data. While sharing of data is centrally facilitated, data management remains decentralised and the know-how and responsibility to curate research data remains with the original data providers.
The Purdue University Research Repository (PURR) provides a virtual research environment and data publication and archiving platform for its campuses. Also supports the publication and online execution of software tools with DataCite DOIs.
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 >>>!!!>>>
The Archaeological Map of the Czech Republic (AMCR) is a repository designed for information on archaeological investigations, sites and finds, operated by the Archaeological Institutes of the CAS in Prague and Brno. The archives of these institutions contain documentation of archaeological fieldwork on the territory of the Czech Republic from 1919 to the present day, and they continue to enrich their collections. The AMCR database and related documents form the largest collection of archaeological data concerning the Czech Republic and are therefore an important part of our cultural heritage. The AMCR digital archive contains various types of records - individual archaeological documents (texts, field photographs, aerial photographs, maps and plans, digital data), projects, fieldwork events, archaeological sites, records of individual finds and a library of 3D models. Data and descriptive information are continuously taken from the AMCR and presented in the the AMCR Digital Archive interface.
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Research Data Centres offer a secure access to detailed microdata from Statistics Canada's surveys, and to Canadian censuses' data, as well as to an increasing number of administrative data sets. The search engine was designed to help you find out more easily which dataset among all the surveys available in the RDCs best suits your research needs.
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O Repositório Aleia é o repositório digital oficial do Ibict para arquivar, publicar, disseminar, preservar e compartilhar os dados digitais de pesquisa produzidos pela comunidade científica Ibict, com a missão de promover, apoiar e facilitar a adoção do acesso aberto aos dados de pesquisa, fomentar novas pesquisas e promover uma Ciência Aberta. Para efeito deste documento, a comunidade científica institucional é aquela constituída por seus servidores, pesquisadores visitantes, bolsistas e alunos do programa de pós-graduação.
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The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
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The National Earth System Science Data Sharing Service Platform is one of the 23 national science and technology infrastructure platforms identified by the Ministry of Science and Technology and the Ministry of Finance as the first batch of platforms. The platform is led by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Since its construction in 2003, more than 40 domestic and overseas units have participated in the platform construction. National Earth System Science Data Sharing Service Platform main development course: The overall goal of the platform is to integrate and integrate the data resources generated by data center groups, universities, research institutes and scientists in China and abroad, to import international data resources and to receive the data resources generated by major national scientific research projects. Based on this, Processing data products. We will improve standards and operational mechanisms and provide data support for Earth system science research and sustainable socio-economic development through the Earth System Scientific Data Sharing Network Platform and professional service teams. The recent consolidation of data resources required to share the research on land surface systems and human-land relations.