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Found 16 result(s)

MUCL Agro-food & Environmental Fungal Collection

BCCM/MUCL Agro-food & Environmental Fungal Collection

Subject(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.

International Food Policy Research Institute Dataverse

IFPRI Dataverse

Subject(s)
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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.

LMG Bacteria Collection

BCCM/LMG Bacteria Collection

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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.

National Sharing Platform for Reference Materials

国家标准物质资源库

Subject(s)
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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.

BioImages - Virtual Field-Guide

Virtual Field-Guide to UK Biodiversity

Subject(s)
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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.

Triticeae Toolbox

T3

Subject(s)
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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).

International Institute of Tropical Agriculture datasets

International Institute of Tropical Agriculture CKAN repository

Subject(s)
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IITA conducts research on the following thematic areas: Biotechnology and genetic improvement, Natural resource management, Social science and agribusiness, and Plant production and plant health.

STRENDA DB

Standards for Reporting Enzymology Data

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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.

National Infrastructure of Cell line Resources BMCR; NICR

国家生物医学实验细胞资源库

Subject(s)
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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.

Grand Challenge Data Collection

Carnegie Mellon University Multi-Modal Activity Database

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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.

Nucleic Acid Database

NDB

Subject(s)
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The NDB is a resource for nucleic acid research and education. The NDB assembles and distributes information about the three-dimensional structures of nucleic acids through a variety of resources, including a searchable database, Atlas, and software

T3DB

Toxin and Toxin Target Database

Subject(s)
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The Toxin and Toxin Target Database is a unique bioinformatics resource that combines detailed toxin data with comprehensive toxin target information. The focus of the T3DB is on providing mechanisms of toxicity and target proteins for each toxin. This dual nature of the T3DB, in which toxin and toxin target records are interactively linked in both directions, makes it unique from existing databases.

Golm Metabolome Database

GMD

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The Golm Metabolome Database (GMD) facilitates the search for and dissemination of reference mass spectra from biologically active metabolites quantified using gas chromatography (GC) coupled to mass spectrometry (MS)

Animal QTLdb

Animal Quantitative Trait Loci

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This Animal Quantitative Trait Loci (QTL) database (Animal QTLdb) is designed to house all publicly available QTL and trait mapping data (i.e. trait and genome location association data; collectively called "QTL data" on this site) on livestock animal species for easily locating and making comparisons within and between species. New database tools are continuely added to align the QTL and association data to other types of genome information, such as annotated genes, RH / SNP markers, and human genome maps. Besides the QTL data from species listed below, the QTLdb is open to house QTL/association date from other animal species where feasible. Note that the JAS along with other journals, now require that new QTL/association data be entered into a QTL database as part of their publication requirements.

ChEMBL

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ChEMBL is a database of bioactive drug-like small molecules, it contains 2-D structures, calculated properties (e.g. logP, Molecular Weight, Lipinski Parameters, etc.) and abstracted bioactivities (e.g. binding constants, pharmacology and ADMET data). The data is abstracted and curated from the primary scientific literature, and cover a significant fraction of the SAR and discovery of modern drugs We attempt to normalise the bioactivities into a uniform set of end-points and units where possible, and also to tag the links between a molecular target and a published assay with a set of varying confidence levels. Additional data on clinical progress of compounds is being integrated into ChEMBL at the current time.

DataverseNO

Subject(s)
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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.