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Found 7 result(s)
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This platform aims to realize data storage, data management, data analysis, data sharing and data citation traceability of various data sets in the field of Humanities and Social Sciences of East China Normal University.
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.
In order to meet the needs of research data management for Peking University. The PKU library cooperate with the NSFC-PKU data center for management science, PKU science and research department, PKU social sciences department to jointly launch the Peking University Open Research Data Platform. PKU Open research data provides preservation, management and distribution services for research data. It encourage data owner to share data and data users to reuse data.
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Science Data Bank is an open generalist data repository developed and maintained by the Chinese Academy of Sciences Computing and Network Information Center (CNIC). It promotes the publication and reuse of scientific data. Researchers and journal publishers can use it to store, manage and share science data.
The International Ocean Discovery Program (IODP) is an international marine research collaboration that explores Earth's history and dynamics using ocean-going research platforms to recover data recorded in seafloor sediments and rocks and to monitor subseafloor environments. IODP depends on facilities funded by three platform providers with financial contributions from five additional partner agencies. Together, these entities represent 26 nations whose scientists are selected to staff IODP research expeditions conducted throughout the world's oceans. IODP expeditions are developed from hypothesis-driven science proposals aligned with the program's science plan Illuminating Earth's Past, Present, and Future. The science plan identifies 14 challenge questions in the four areas of climate change, deep life, planetary dynamics, and geohazards. Until 2013 under the name: International Ocean Drilling Program.
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China Meteorological Data Service Center, an upgraded system of the meteorological data sharing network, is an important component of the underlying national science and technology platform and a main portal application system of meteorological cloud. It is an authoritative and unified shared service platform for China Meteorological Administration to open its meteorological data resources to domestic and global users, and a data supporting platform for China to open its meteorological service market and promote the sharing and efficient application of meteorological information resources as a new meteorological service system. The comprehensive meteorological database provide online and offline shared services, the existing data types including global upper-air sounding data, surface observations, ocean observations, numerical forecast products, agro-meteorological data of ground observation data encryption, aircraft soundings, numerical weather prediction analysis field data, GPS-Met, Storm 2 No, GOES-9 satellite data, soil moisture, aircraft reported sandstorm monitoring, TOVS, ATOVS, wind profilers, satellite detection information.
DDE DPR is a repository of geoscience data established with the support of Deep-time Digital Earth international big science program (DDE), which is committed to building a resource base for long-term data sharing and data release. Users can provide their research results to consumers in a discoverable, shareable and referential way, provide long-term preservation, sharing and acquisition services for scientific data, and promote the findability, accessibility, interoperability and reusability (FAIR) of data on the basis of protecting the rights and interests of data authors, so as to promote the sharing of geoscience data.