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Found 106 result(s)
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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.
Arca Data is Fiocruz's official repository for archiving, publishing, disseminating, preserving and sharing digital research data produced by the Fiocruz community or in partnership with other research institutes or bodies, with the aim of promoting new research, ensuring the reproducibility or replicability of existing research and promoting an Open and Citizen Science. Its objective is to stimulate the wide circulation of scientific knowledge, strengthening the institutional commitment to Open Science and free access to health information, in addition to providing transparency and fostering collaboration between researchers, educators, academics, managers and graduate students, to the advancement of knowledge and the creation of solutions that meet the demands of society.
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This repository supports the researchers of the Eötvös Loránd Research Network (elkh.org), and to some extent the Hungarian scientists in general.
The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the KEEP Institutional Repository are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.
B2FIND is a discovery service based on metadata steadily harvested from research data collections from EUDAT data centres and other repositories. The service offers faceted browsing and it allows in particular to discover data that is stored through the B2SAFE and B2SHARE services. The B2FIND service includes metadata that is harvested from many different community repositories.
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The French Center for Socio-Political Data over 390 surveys and studies through its data bank (Banque de données), based on the Dataverse open solution. Accessing the data requires creating an account, accepting of General Terms of Use, and manual approval of the request by data managers. Election results and metadata, which are openly available, do not fall under these prerequisites.
Brock University Dataverse, housed under the Ontario Council of University Libraries’ Scholars Portal Dataverse, is the central online repository for research data at Brock University.
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The Canadian Opinion Research Archive at Queen's University makes available commercial and independent surveys to the academic, research and journalistic communities. Founded in 1992, CORA contains hundreds of surveys including thousands of discrete items collected by major commercial Canadian firms dating back to the 1970s. CORA is continually adding new surveys and is always soliciting new data from commercial research firms, independent think tanks, research institutes, NGOs, and academic researchers. This website also includes readily accessible results from these surveys, tracking Canadian opinion over time on frequently asked survey questions, as well as tabular results from recent Canadian surveys, and more general information on polling. This material is made available as a public service by CORA and its partners.
The CBU Dataverse is a research data repository for Cape Breton University. Files are held securely on Canadian servers, and can be made openly accessible to further research, gain citations and promote our world class research.
The Carleton University Data Repository Dataverse is the research data repository for Carleton University. It is managed by the Data Services in the MacOdrum Library. The repository also houses the MacOdrum Library Dataverse Collection which contains numerous public opinion polls.
The aim of CfA Library Datasets Dataverse is creating a better information system to respond to the changing needs of astronomers not only at the CfA, but worldwide as well. As part of this growing partnership with the ADS, the CfA Library is expanding its metadata and data curation services, and in the process, creating datasets that the astronomy community may find useful. The CfA Library Datasets Dataverse has been created to share these datasets with the greater community with the hope that some members may find it useful. Please remember to acknowledge the CfA Library and the ADS and cite the work using the "Data Citation" presented under each study's "Cataloging Information" section.
The Center for International Forestry Research (CIFOR) envisions a more equitable world where forestry and landscapes enhance the environment and well-being for all. The Center for International Forestry Research (CIFOR) is committed to advancing human well-being, equity and environmental integrity by conducting innovative research, developing partners’ capacity and actively engaging in dialogue with all stakeholders to inform policies and practices that affect forests and people.
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The Catalog of Inferred Sequence Binding Preferences (CIS-BP) is a library of transcription factor (TF) DNA binding motifs and specificities. The data are organized in a user friendly manner for ease of searching, browsing, and downloading. CIS-BP also includes built-in web tools for scanning DNA sequences for putative TF binding sites, predicting the DNA binding motif of a given TF, and identifying a TF that might recognize a given DNA motif.
CLOSER Discovery is a research tool for locating the variables that best suit your research interests and testing their robustness. Metadata repository for Longitudinal Population Studies in the United Kingdom
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The Concordia University Dataverse is a research data repository for Concordia faculty, students, and staff. Files are held in a secure environment on Canadian servers.
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.
Research Data Repository of the Instituto Federal Goiano - Campus Urutaí, a Brazilian public institution of the Ministry of Education. The project is an initiative of the Directorate of Post-Graduate Studies, Research and Innovation of the Federal Institute of Goiás - Campus Urutaí, which follows the philosophy of Open Science, for expansion and valuation of scientific research, aiming to provide data from technical-scientific observations and experimentation, ensuring that its authors, researchers and students receive all the credit they deserve as agents generating data. At the same time, the appropriate reuse of data is envisaged, whether in didactic-pedagogical activities or in new research.
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The data repository aims to store, preserve and make available research data generated by the academic community, in open access - as open as possible, as closed as necessary.