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Found 6 result(s)

National Sharing Platform for Reference Materials

国家标准物质资源库

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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.

National Infrastructure of Cell line Resources BMCR; NICR

国家生物医学实验细胞资源库

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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 Luke

Luonnonvarakeskuksen tutkimusaineistokuvausten hakupalvelu

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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 National Soil DataBase

NSDB

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The NSDB is the set of computer readable files which contain soil, landscape, and climatic data for all of Canada. It serves as the national archive for land resources information that was collected by federal and provincial field surveys, or created by land data analysis projects. The NSDB includes GIS coverages at a variety of scales, and the characteristics of each named soil series. The principal types of NSDB data holdings (ordered by scale) are as follows: National Ecological Framework (EcoZones, EcoRegions, and EcoDistricts); Soil Map of Canada / Land Potential DataBase (LPDB); Agroecological Resource Areas (ARAs); Soil Landscapes of Canada (SLC); Canada Land Inventory (CLI); Detailed Soil Surveys.

Birdbase

A database of avian genes & genomes

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<<<!!!<<< 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.

DataverseNO

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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.