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Found 368 result(s)
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.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.
SWISSUbase is a national cross-disciplinary solution for Swiss universities and other research organisations in need of local institutional data repositories for their researchers. SWISSUbase offers to the Swiss research institutions a tool for the curation, preservation, and dissemination of scientific research data and for the storage of information on ongoing and completed research projects in the country. The platform relies on international archiving standards and processes to ensure that data are preserved and accessible in the long-term. Datasets are curated by Data Service Units (DSU). DSU LaRS – Language Repository of Switzerland: https://www.lars.uzh.ch/en.html
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The research data of the last 6000 years were produced using global and regional climate simulations. Climate models of the present and future climate are applied as background for the simulations. The global climate was simulated in a high spatial resolution by using the so-called time slice approach for chosen periods in the past 6000 years.
<<<!!!<<< Stated 2019-10-30: Dash is no longer available. Researchers are advised to store their research data at Dryad https://www.re3data.org/repository/r3d100000044 >>>!!!>>> Dash is an open data publication platform for upload, access, and re-use of research data. Submissions to Dash may be from researchers at participating UC campuses, researchers in earth science and ecology (DataONE), and researchers submitting to the UC Press journals Elementa and Collabra. Self-service depositing of research data through Dash fulfills publisher, funder, and data management plan requirements regarding data sharing and preservation. When researchers publish their datasets through Dash, their datasets are issued a DOI (DataCite) to optimize citability, and are publicly available for download and re-use under a CC BY 4.0 or CC-0 license. Deposited data are preserved in Merritt, California Digital Library’s preservation repository.
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CURATOR (Chiba University's Repository for Access to Outcomes from Research) captures, preserves and makes publicly available intellectual digital materials from research activities on Chiba University campuses, including peer-reviewed articles, theses, preprints, statistical and experimental data, course materials and softwares. CURATOR is intended to function as the portal for the outcomes from Chiba University's research activities. The University Library is responsible for building and operating CURATOR under the guidance of the Faculty Committee for Improved Scholarly Information Availability, which commissioned by the Library Board of Faculty Representatives to systematically promote and arrange disseminative activities by the University.
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The Research Data Center DeZIM.fdz at the German Center for Integration and Migration Research consists of four interconnected modules: (1) data archive, (2) support for staff and users, (3) online access panel and (4) metadatabase. It offers interested researchers the opportunity to access research data collected in the course of projects carried out at the DeZIM Institute and at the institutes of the DeZIM Research Association. In addition to the access to the data, the DeZIM.fdz organizes an extensive support for the individual data sets in its data offer as well as for various methodological key topics. The regularly conducted surveys within the framework of the Online Access Panel enable scientists at the DeZIM Institute, at the institutes of the DeZIM Research Association, external scientists and the staff of the BMFSFJ to access a pool of potential interviewees. Furthermore, DeZIM.fdz offers an extensive information database, which enables research on studies - both internally and externally archived - that deal with the topics of integration and migration.
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The Research Data Repository is a technological infrastructure that allows the preservation and access to research data produced at Universidad Andrés Bello (Chile). The repository complies with international standards for the deposit and access of data, highlighting the FAIR principles. These principles guarantee that the data will be Findable, Accessible, Interoperable and Reusable.
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Research Data @PUC-Rio is an aggregator to make it easier to access Resarch Data among many other digital contents on the Maxwell Repository. All datasets must be licensed under a CC License (as stated on the homepage of the aggregator) to be made available on the Maxwell System (https:\\www.maxwell.vrac.puc-rio.br). All interfaces and metadata shown on the aggregator are in English though all contents are described in Portuguese too.
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.
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).
<<<!!!<<< Duplicate to https://www.re3data.org/repository/r3d100011116 , this entry is no longer maintained >>>!!!>>> GGOS is the Global Geodetic Observing System of the International Association of Geodesy (IAG). It provides observations of the three fundamental geodetic observables and their variations, that is, the Earth's shape, the Earth's gravity field and the Earth's rotational motion. GGOS integrates different geodetic techniques, different models, different approaches in order to ensure a long-term, precise monitoring of the geodetic observables in agreement with the Integrated Global Observing Strategy (IGOS). GGOS provides the observational basis to maintain a stable, accurate and global reference frame and in this function is crucial for all Earth observation and many practical applications.
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Base of Knowledge Wrocław University of Environmental and Life Sciences / Research Data Repository is an institutional open research data repository, offering the possibility to deposit datasets (as well as publications) created by researchers, PhD candidates and students of Wrocław University of Environmental and Life Sciences. It is intended for scientific data from the disciplines related to the University’s profile. It is a platform where research data can be safely collected, stored and openly shared with others, obtaining a permanent Digital Object Identifier (DOI) for each dataset and choosing a data usage license. Research Data Repository applies the FAIR Principles (data is findable, accessible, interoperable and reusable).
ERIC/open is the institutional repository where Eawag scientists publish their research data. Research data is organized in Packages which contain one or more Resources. Resources are usually files containing research data proper or ancillary information such as a README-file. A URL pointing to external information might also constitute a Resource.
<<<!!!<<< This repository is no longer available. >>>!!!>>>The Deep Carbon Observatory (DCO) is a global community of multi-disciplinary scientists unlocking the inner secrets of Earth through investigations into life, energy, and the fundamentally unique chemistry of carbon. Deep Carbon Observatory Digital Object Registry (“DCO-VIVO”) is a centrally-managed digital object identification, object registration and metadata management service for the DCO. Digital object registration includes DCO-ID generation based on the global Handle System infrastructure and metadata collection using VIVO. Users will be able to deposit their data into the DCO Data Repository and have that data discoverable and accessible by others.
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The Universidad del Rosario Research data repository is an institutional iniciative launched in 2019 to preserve, provide access and promote the use of data resulting from Universidad del Rosario research projects. The Repository aims to consolidate an online, collaborative working space and data-sharing platform to support Universidad del Rosario researchers and their collaborators, and to ensure that research data is available to the community, in order to support further research and contribute to the democratization of knowledge. The Research data repository is the heart of an institutional strategy that seeks to ensure the generation of Findable, Accessible, Interoperable and Reusable (FAIR) data, with the aim of increasing its impact and visibility. This strategy follows the international philosophy of making research data “as open as possible and as closed as necessary”, in order to foster the expansion, valuation, acceleration and reusability of scientific research, but at the same time, safeguard the privacy of the subjects. The platform storage, preserves and facilitates the management of research data from all disciplines, generated by the researchers of all the schools and faculties of the University, that work together to ensure research with the highest standards of quality and scientific integrity, encouraging innovation for the benefit of society.