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Found 34 result(s)
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BCCM/MUCL is a generalist fungal culture collection of over 30000 filamentous fungi, yeasts and arbuscular mycorrhizal fungi including type, reference and test strains. It provides curated documentation and information on these bioresourced in its database. The collections activities include the distribution of its holdings, the accession of new material in its public, safe and patent domains, and services valorising its holdings and/or expertise to cultivate, isolate and identify fungal diversity in natural and anthropological ecosystems, agro-food (food and feed transformation and spoilage), and fungal-plant interactions.
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INRAE is the world’s first organisation specialized on agricultural, food and environmental sciences. Data INRAE is offered by INRAE as part of its mission to open the results of its research. Data INRAE will share research data in relation with food, nutrition, agriculture and environment. It includes experimental, simulation and observation data, omic data, survey and text data. Only data produced by or in collaboration with INRAE will be hosted in the repository, but anyone can access the metadata and the open data.
The International Food Policy Research Institute (IFPRI) seeks sustainable solutions for ending hunger and poverty. In collaboration with institutions throughout the world, IFPRI is often involved in the collection of primary data and the compilation and processing of secondary data. The resulting datasets provide a wealth of information at the local (household and community), national, and global levels. IFPRI freely distributes as many of these datasets as possible and encourages their use in research and policy analysis. IFPRI Dataverse contains following dataverses: Agricultural Science and Knowledge Indicators - ASTI, HarvestChoice, Statistics on Public Expenditures for Economic Development - SPEED, International Model for Policy Analysis of Agricultural Commodities and Trade - IMPACT, Africa RISING Dataverse and Food Security Portal Dataverse.
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BCCM/LMG is a bacterial culture collection currently comprising over 26.000 well-characterized strains. The biological origin of our collection is very broad, including bacterial isolates from food, clinical, veterinary, agricultural, aquatic and other environmental sources. This way, the biological resources of BCCM/LMG may serve the needs of various R&D sectors, including green, red, blue and white biotechnology.
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Standard, reference material is used for measurement process control and reliability evaluation of measurement results, and plays a key role in important fields such as food safety, international and domestic trade, medicine and health, and environmental monitoring. In order to realize the efficient use and sharing of reference material resources in the whole society, the Institute of Chemistry of China Institute of Metrology (formerly the National Reference Material Research Center), with the support of the Ministry of Science and Technology, launched the "National Reference Material Information Service" at the end of 2003.
The Agricultural and Environmental Data Archive (AEDA) is the direct result of a project managed by the Freshwater Biological Association in partnership with the Centre for e-Research at King's College London, and funded by the Department for the Environment, Food & Rural Affairs (Defra). This project ran from January 2011 until December 2014 and was called the DTC Archive Project, because it was initially related to the Demonstration Test Catchments Platform developed by Defra. The archive was also designed to hold data from the GHG R&D Platform (www.ghgplatform.org.uk). After the DTC Archive Project was completed the finished archive was renamed as AEDA to reflect it's broader remit to archive data from any and all agricultural and environmental research activities.
This site offers an enormous collection of photographs of wild species and natural history objects. It covers most groups of organisms with the exception of birds and other vertebrates. The photographs are presented to illustrate biodiversity and as an aid to identification. The criterion for inclusion of a species is that it must have been, or might be expected to be, found in Britain or Ireland. BioImages follows the biological classification. Biota is a hierarchical system with species grouped in genera, genera in families, families in orders and so on up to kingdoms and superkingdoms. The datasets are linked to bioinfo: food webs and species interactions in the Biodiversity of UK and Ireland.
The National Collaborative on Childhood Obesity Research (NCCOR) brings together four of the nation's leading research funders — the Centers for Disease Control and Prevention (CDC), the National Institutes of Health (NIH), the Robert Wood Johnson Foundation (RWJF), and the U.S. Department of Agriculture (USDA) — to address the problem of childhood obesity in America. The Tools of the NCCOR are: Catalogue of Surveillance Systems, Measures Registry and Registry of Studies.
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Exposures in the period from conception to early childhood - including fetal growth, cell division, and organ functioning - may have long-lasting impact on health and disease susceptibility. To investigate these issues the Danish National Birth Cohort (Better health in generations) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with suffcient validity back in time. The study needed to be large, and the aim was to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. Exposure information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Participants were also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from theumbilical cord taken shortly after birth.
A database for plant breeders and researchers to combine, visualize, and interrogate the wealth of phenotype and genotype data generated by the Triticeae Coordinated Agricultural Project (TCAP).
STRENDA DB is a storage and search platform supported by the Beilstein-Institut that incorporates the STRENDA Guidelines in a user-friendly, web-based system. If you are an author who is preparing a manuscript containing functional enzymology data, STRENDA DB provides you the means to ensure that your data sets are complete and valid before you submit them as part of a publication to a journal. Data entered in the STRENDA DB submission form are automatically checked for compliance with the STRENDA Guidelines; users receive warnings informing them when necessary information is missing.
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The center is a national-level cell bank that is in line with international standards, has complete collections, and is rich in data. The center mainly collects and preserves various types of cells related to medical and biological research and provides technical services. In addition, it also conducts collaborative research and technical training of personnel.
RADAR service offers the ability to search for research data descriptions of the Natural Resources Institute Finland (Luke). The service includes descriptions of research data for agriculture, forestry and food sectors, game management, fisheries and environment. The public web service aims to facilitate discovering subjects of natural resources studies. In addition to Luke's research data descriptions one can search metadata of the Finnish Environment Institute (SYKE). The interface between Luke and SYKE metadata services combines Luke's research data descriptions and SYKE's descriptions of spatial datasets and data systems into a unified search service.
The CMU Multi-Modal Activity Database (CMU-MMAC) database contains multimodal measures of the human activity of subjects performing the tasks involved in cooking and food preparation. The CMU-MMAC database was collected in Carnegie Mellon's Motion Capture Lab. A kitchen was built and to date twenty-five subjects have been recorded cooking five different recipes: brownies, pizza, sandwich, salad, and scrambled eggs.
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The UniSA Data Access Portal showcases a range of Open Access research collections and datasets developed or collected by the University of South Australia. The UniSA Data Access Portal also highlights research projects and publications related to the available collections and datasets, and facilitates a variety of searches by researcher, organisation, discipline and keyword. Research collections and datasets available in Open Access can be freely downloaded and used to support your research in line with the terms of the licence under which they are made available.
The ChemBio Hub vision is to provide the tools that will make it easier for Oxford University scientists to connect with colleagues to improve their research, to satisfy funders that the data they have paid for is being managed according to their policies, and to make new alliances with pharma and biotech partners. Funding and development of the ChemBio Hub was ending on the 30th June 2016. Please be reassured that the ChemBio Hub system and all your data will continue to be secured on the SGC servers for the foreseeable future. You can continue to use the services as normal.
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GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Research Institute for Agriculture, Food and Environment. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.
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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.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)