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Found 10 result(s)
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The INESC TEC data repository showcases datasets produced or used by INESC TEC researchers and their partners. The repository is organized in four groups (institutional clusters). Computer Science, Power and Energy, Network and Intelligent Systems and Power and Energy.
Country
The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.
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!!! <<< this record is no longer maintained, please use https://www.re3data.org/repository/r3d100011876 or https://www.re3data.org/repository/r3d100011647 >>> !!!: e!DAL stands for electronic Data Archive Library. It is a lightweight open source software software framework for publishing and sharing research data. e!DAL was developed based on experiences coming from decades of research data management and has grown towards being a general data archiving and publication infrastructure [https://doi.org/10.1186/1471-2105-15-214]. First research data repository is "Plant Genomics and Phenomics Research Data Repository" [https://doi.org/10.1093/database/baw033].
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The University of Tasmania Research Data Portal (RDP) enables UTAS researchers to securely store and publish their datasets. Datasets published in RDP are publicly available through the Research Data Australia Search Portal (https://researchdata.edu.au/).
The Earth System Grid Federation (ESGF) is an international collaboration with a current focus on serving the World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project (CMIP) and supporting climate and environmental science in general. Data is searchable and available for download at the Federated ESGF-CoG Nodes https://esgf.llnl.gov/nodes.html
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BIRD is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
The Stanford Digital Repository (SDR) is Stanford Libraries' digital preservation system. The core repository provides “back-office” preservation services – data replication, auditing, media migration, and retrieval -- in a secure, sustainable, scalable stewardship environment. Scholars and researchers across disciplines at Stanford use SDR repository services to provide ongoing, persistent, reliable access to their research outputs.
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The IPK stores a large volume of research results and information in various databases. The Institute of Plant Genetics and Crop Plant Research IPK Gatersleben, is a nonprofit research institution for crop genetics and molecular biology, and is part of the Leibniz Association. The mission of the IPK Gatersleben is to conduct basic and applied research in the area of plant genetics and crop plant research. The results of this work are not only of significant benefit to plant breeders and the agricultural industry, but also to the food, feed, and chemical industry. An additional research area, the use of renewable raw materials, is increasingly gaining in importance.
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The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) and German Plant Phenotyping Network (DPPN) has jointly initiated the Plant Genomics and Phenomics Research Data Repository (PGP) as infrastructure to comprehensively publish plant research data. This covers in particular cross-domain datasets that are not being published in central repositories because of its volume or unsupported data scope, like image collections from plant phenotyping and microscopy, unfinished genomes, genotyping data, visualizations of morphological plant models, data from mass spectrometry as well as software and documents.