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Found 36 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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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.
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.
IsoArcH is an open access isotope web-database for bioarchaeological samples from prehistoric and historical periods all over the world. With 40,000+ isotope related data obtained on 13,000+ specimens (i.e., humans, animals, plants and organic residues) coming from 500+ archaeological sites, IsoArcH is now one of the world's largest repositories for isotopic data and metadata deriving from archaeological contexts. IsoArcH allows to initiate big data initiatives but also highlights research lacks in certain regions or time periods. Among others, it supports the creation of sound baselines, the undertaking of multi-scale analysis, and the realization of extensive studies and syntheses on various research issues such as paleodiet, food production, resource management, migrations, paleoclimate and paleoenvironmental changes.
As a department of the United States Department of Agriculture (USDA) the National Agricultural Statistics Service (NASS) continually surveys and reports on U.S. agriculture. NASS reports include production and supplies of food and fiber, prices paid and received by farmers, farm labor and wages, farm finances, chemical use, and changes in the demographics of U.S. producers. NASS provides objective and unbiased statistics of states and counties, while safeguarding the privacy of farmers and ranchers.
The National River Flow Archive is the primary archive of daily and peak river flows for the United Kingdom. The archive incorporates daily, monthly and flood peak data from over 1500 gauging stations. The NRFA holds a wide range of hydrological information to assist in the understanding and interpretation of measured river flows. In addition to time series of gauged river flow, the data centre maintains hydrometric information relating to the gauging stations and the catchments they command and data quantifying other parts of the hydrological cycle.
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The Pig Expression Data Explorer (PEDE) database system stores full-length cDNA libraries of swine data accesible via keyword and ID searches. Data is publically available, and may specifically interest genetic researchers interested in disease sucsceptibly, and major and minor porcine specific antigens.
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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MedEffect Canada’s Adverse Reaction Online Database contains information on suspected adverse reaction reports related to marketed health products that were submitted to Health Canada by consumers and health professionals, who submit reports voluntarily, as well as by Market Authorization Holders (manufacturers and distributors), who are required to submit reports according to the Next link will take you to another Web site Food and Drugs Regulations.
In keeping with the open data policies of the U.S. Agency for International Development (USAID) and Bill & Melinda Gates Foundation, the Cereal Systems Initiative for South Asia (CSISA) has launched the CSISA Data Repository to ensure public accessibility to key data sets, including crop cut data- directly observed, crop yield estimates, on-station and on-farm research trial data and socioeconomic surveys. CSISA is a science-driven and impact-oriented regional initiative for increasing the productivity of cereal-based cropping systems in Bangladesh, India and Nepal, thus improving food security and farmers’ livelihoods. CSISA generates data that is of value and interest to a diverse audience of researchers, policymakers and the public. CSISA’s data repository is hosted on Dataverse, an open source web application developed at Harvard University to share, preserve, cite, explore and analyze research data. CSISA’s repository contains rich datasets, including on-station trial data from 2009–17 about crop and resource management practices for sustainable future cereal-based cropping systems. Collection of this data occurred during the long-term, on-station research trials conducted at the Indian Council of Agricultural Research – Research Complex for the Eastern Region in Bihar, India. The data include information on agronomic management for the sustainable intensification of cropping systems, mechanization, diversification, futuristic approaches to sustainable intensification, long-term effects of conservation agriculture practices on soil health and the pest spectrum. Additional trial data in the repository includes nutrient omission plot technique trials from Bihar, eastern Uttar Pradesh and Odisha, India, covering 2012–15, which help determine the indigenous nutrient supplying ability of the soil. This data helps develop precision nutrient management approaches that would be most effective in different types of soils. CSISA’s most popular dataset thus far includes crop cut data on maize in Odisha, India and rice in Nepal. Crop cut datasets provide ground-truthed yield estimates, as well as valuable information on relevant agronomic and socioeconomic practices affecting production practices and yield. A variety of research data on wheat systems are also available from Bangladesh and India. Additional crop cut data will also be coming online soon. Cropping system-related data and socioeconomic data are in the repository, some of which are cross-listed with a Dataverse run by the International Food Policy Research Institute. The socioeconomic datasets contain baseline information that is crucial for technology targeting, as well as to assess the adoption and performance of CSISA-supported technologies under smallholder farmers’ constrained conditions, representing the ultimate litmus test of their potential for change at scale. Other highly interesting datasets include farm composition and productive trajectory information, based on a 20-year panel dataset, and numerous wheat crop cut and maize nutrient omission trial data from across Bangladesh.
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.
WFCC-MIRCEN World Data Centre for Microorganisms (WDCM) provides a comprehensive directory of culture collections, databases on microbes and cell lines, and the gateway to biodiversity, molecular biology and genome projects.The WFCC is a Multidisciplinary Commission of the International Union of Biological Sciences (IUBS) and a Federation within the International Union of Microbiological Societies (IUMS). The WFCC is concerned with the collection, authentication, maintenance and distribution of cultures of microorganisms and cultured cells. Its aim is to promote and support the establishment of culture collections and related services, to provide liaison and set up an information network between the collections and their users, to organise workshops and conferences, publications and newsletters and work to ensure the long term perpetuation of important collections.
NORMAN SusDat is a "living database" compiling information provided by NORMAN network members and external contributors via the NORMAN Suspect List Exchange (NORMAN-SLE). NORMAN SusDat merges the many chemical lists on the SLE into a common format and includes all data suitable for screening purposes, along with selected identifiers and predicted values as a service for NORMAN members and beyond. SusDat is undergoing constant development and improvement to expand the coverage, together with contributors and cheminformatics experts. The original lists on the NORMAN-SLE should be consulted to verify chemical information if necessary.
figshare is the RDM system at the University. It is a cloud-based data repository that supports multiple file formats. Research data in the form of datasets, code, audio, images and more can be disseminated via the University's figshare. Citations can be traced for datasets (not just the final research output/article) and analytics will show who is looking at our research data around the world. figshare enables researchers to store research data in a secure way. The system is user-friendly, with easy access, and shareable with colleagues and collaborators on research projects. Where appropriate it enables researchers to make research data openly accessible.
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.
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Hub provides access to over 2080 metadata records, with over 5500 data sets available to download and connect to in support of commitments to Open Science through the Data Portal. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under Open Government License by default where feasible.
<<<!!!<<< This repository is no longer available. >>>!!!>>> The sequencing of several bird genomes and the anticipated sequencing of many more provided the impetus to develop a model organism database devoted to the taxonomic class: Aves. Birds provide model organisms important to the study of neurobiology, immunology, genetics, development, oncology, virology, cardiovascular biology, evolution and a variety of other life sciences. Many bird species are also important to agriculture, providing an enormous worldwide food source worldwide. Genomic approaches are proving invaluable to studying traits that affect meat yield, disease resistance, behavior, and bone development along with many other factors affecting productivity. In this context, BirdBase will serve both biomedical and agricultural researchers.