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Found 88 result(s)
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 Astronomy data repository at Harvard is currently open to all scientific data from astronomical institutions worldwide. Incorporating Astroinformatics of galaxies and quasars Dataverse. The Astronomy Dataverse is connected to the indexing services provided by the SAO/NASA Astrophysical Data Service (ADS).
The Maine Dataverse Network is a cloud-based data repository intended to act as a long-term archive and to facilitate data sharing among the research community in accordance with NSF, NIH, NASA and other granting authority data management plan requirements. The Maine Dataverse Network offers a convenient and secure method of sharing and archiving data and is made available to the Maine research community at no cost.
Additional to the the e-publishing offer for articles, books and journals, Propylaeum provides classical scholars with the opportunity to archive the respective research data permanently. These can be linked directly to online publications hosted on the Heidelberg publishing platforms. All research data – e.g. images, videos, audio files, tables, graphics etc. – receive a DOI (Digital Object Identifiyer). Thus, they can be cited, viewed and permanently linked to as distinct academic output.
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UBC Dataverse Collection is a free research data repository for our faculty, students and staff. The platform makes it possible for researchers to deposit data, create appropriate metadata, obtain DOIs for permanent links, and maintain version control of their datasets. All files are held in a secure environment on Canadian servers. Researchers are encouraged to make their data available publicly, but can choose to restrict access to their data if they wish.
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Discover the data on entrepreneurship projects, innovation plans, digital transformation proposals, consumers, and financial markets. Also, explore research on business, management, and entrepreneurship research development at our Business school.
Dataverse is a free and secure data repository that supports the deposit and sharing of University of Windsor research data. This service has been established by the Academic Data Centre (ADC) at Leddy Library.
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Macromolecular Xtallography Raw Data Repository (MX-RDR) is a domain-specific digital repository of crystallographic open research data. The use of Repository is open for everyone.
The University of Guelph Research Data Repositories provide long-term stewardship of research data created at or in cooperation with the University of Guelph. The Data Repositories are guided by the FAIR Guiding Principles for scientific data management and stewardship which aim to improve the Findability, Accessibility, Interoperability and Reuse of research data. The Data Repositories is composed of two main collections: the Agri-environmental Research Data collection which houses agricultural and environmental research data, and the Cross-disciplinary Research Data collection which houses all other disciplinary research data.
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.