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Found 8 result(s)
The Plant Metabolic Network (PMN) provides a broad network of plant metabolic pathway databases that contain curated information from the literature and computational analyses about the genes, enzymes, compounds, reactions, and pathways involved in primary and secondary metabolism in plants. The PMN currently houses one multi-species reference database called PlantCyc and 22 species/taxon-specific databases.
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The Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) and the 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 these cross-domain data sets that are not being published in central repositories because of its huge volume, unsupported data domain or scope, like image collections from plant phenotyping and microscopy, unassembled sequences, genotyping data, visualizations of complex morphological plant models, movies plant 3-D models, raw data from mass spectrometry, software, and documents. Accepted data is published as citable DOIs and core set of technical metadata is registered at DataCite. The used e!DAL-embedded Web frontend generates for each data set a landing page and supports an interactive exploration of available datasets. This long-term stable access to plant genomic and phenomic primary data records across domains and laboratories in one repository can empower researchers to reproduce already published analysis results as well as performing subsequent, advanced studies.
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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 [doi:10.1186/1471-2105-15-214]. First research data repository is "Plant Genomics and Phenomics Research Data Repository".
The Wellcome Trust Sanger Institute is a charitably funded genomic research centre located in Hinxton, nine miles south of Cambridge in the UK. We study diseases that have an impact on health globally by investigating genomes. Building on our past achievements and based on priorities that exploit the unique expertise of our Faculty of researchers, we will lead global efforts to understand the biology of genomes. We are convinced of the importance of making this research available and accessible for all audiences. reduce global health burdens.
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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.
The Barcode of Life Data Systems (BOLD) provides DNA barcode data. BOLD's online workbench supports data validation, annotation, and publication for specimen, distributional, and molecular data. The platform consists of four main modules: a data portal, a database of barcode clusters, an educational portal, and a data collection workbench. BOLD is the go-to site for DNA-based identification. As the central informatics platform for DNA barcoding, BOLD plays a crucial role in assimilating and organizing data gathered by the international barcode research community. Two iBOL (International Barcode of Life) Working Groups are supporting the ongoing development of BOLD.
The CGIAR Research Program No. 6 (CRP6): Forests, Trees and Agroforestry: Livelihoods, Landscapes and Governance aims to enhance the management and use of forests, agroforestry and tree genetic resources across the landscape, from farms to forests.
GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience (GigaScience is an online, open-access journal). GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. GigaDB allows the integration of manuscript publication with supporting data and tools.