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Found 33 result(s)
Country
Based on the needs of national scientific and technological innovation for laboratory animal resources, we use various methods such as foreign introduction, domestic collection, independent research and development, and protocol conservation to collect, integrate, and optimize laboratory animal resources. The resource library now preserves more than 200 varieties and strains in four categories, including mice, rats, guinea pigs, and rabbits, including routine laboratory animals, genetically modified animal models, and animal models for disease. The predecessor of the resource bank was the National Rodent Laboratory Animal Seed Center (Guoke Cai Zi [1998] No. 010), established in 1998 and based on the Laboratory Animal Resources Research Institute of the Chinese National Academy of Food and Drug Administration.
Academic Commons provides open, persistent access to the scholarship produced by researchers at Columbia University, Barnard College, Jewish Theological Seminary, Teachers College, and Union Theological Seminary. Academic Commons is a program of the Columbia University Libraries. Academic Commons accepts articles, dissertations, research data, presentations, working papers, videos, and more.
With the Program EnviDat we develop a unified and managed access portal for WSL's rich reservoir of environmental monitoring and research data. EnviDat is designed as a portal to publish, connect and search across existing data but is not intended to become a large data centre hosting original data. While sharing of data is centrally facilitated, data management remains decentralised and the know-how and responsibility to curate research data remains with the original data providers.
Country
bonndata is the institutional, FAIR-aligned and curated, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn. The repository is fully embedded into the University IT and Data Center and curated by the Research Data Service Center (https://www.forschungsdaten.uni-bonn.de/en). The software that bonndata is based on is the open source software Dataverse (https://dataverse.org)
The Research Collection is ETH Zurich's publication platform. It unites the functions of a university bibliography, an open access repository and a research data repository within one platform. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit research data from all domains. They can publish data as a standalone publication, publish it as supplementary material for an article, dissertation or another text, share it with colleagues or a research group, or deposit it for archiving purposes. Research-data-specific features include flexible access rights settings, DOI registration and a DOI preview workflow, content previews for zip- and tar-containers, as well as download statistics and altmetrics for published data. All data uploaded to the Research Collection are also transferred to the ETH Data Archive, ETH Zurich’s long-term archive.
Country
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.
DEIMS-SDR (Dynamic Ecological Information Management System - Site and dataset registry) is an information management system that allows you to discover long-term ecosystem research sites around the globe, along with the data gathered at those sites and the people and networks associated with them. DEIMS-SDR describes a wide range of sites, providing a wealth of information, including each site’s location, ecosystems, facilities, parameters measured and research themes. It is also possible to access a growing number of datasets and data products associated with the sites. All sites and dataset records can be referenced using unique identifiers that are generated by DEIMS-SDR. It is possible to search for sites via keyword, predefined filters or a map search. By including accurate, up to date information in DEIMS, site managers benefit from greater visibility for their LTER site, LTSER platform and datasets, which can help attract funding to support site investments. The aim of DEIMS-SDR is to be the globally most comprehensive catalogue of environmental research and monitoring facilities, featuring foremost but not exclusively information about all LTER sites on the globe and providing that information to science, politics and the public in general.
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Swedish National Data Service (SND) is a research data infrastructure designed to assist researchers in preserving, maintaining, and disseminating research data in a secure and sustainable manner. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. Together with an extensive network of almost 40 Swedish higher education institutions and other research organisations, SND works for increased access to research data, nationally as well as internationally.
In 1984 the establishment of the Vitis International Variety Catalogue (VIVC) took place at the Institute for Grapevine Breeding Geilweilerhof. The concept of a database on grapevine genetic resources was supported by IBPGR (today called Bioversity) and the International Organisation of Vine and Wine (OIV). Today VIVC is an encyclopedic database with around 23000 cultivars, breeding lines and Vitis species, existing in grapevine repositories and/or described in bibliography. It is an information source for breeders, researchers, curators of germplasm repositories and interested wine enthusiasts. Besides cultivar specific passport data, SSR-marker data, comprehensive bibliography and photos are to be found.
NKN is now Research Computing and Data Services (RCDS)! We provide data management support for UI researchers and their regional, national, and international collaborators. This support keeps researchers at the cutting-edge of science and increases our institution's competitiveness for external research grants. Quality data and metadata developed in research projects and curated by RCDS (formerly NKN) is a valuable, long-term asset upon which to develop and build new research and science.
The datacommons@psu was developed in 2005 to provide a resource for data sharing, discovery, and archiving for the Penn State research and teaching community. Access to information is vital to the research, teaching, and outreach conducted at Penn State. The datacommons@psu serves as a data discovery tool, a data archive for research data created by PSU for projects funded by agencies like the National Science Foundation, as well as a portal to data, applications, and resources throughout the university. The datacommons@psu facilitates interdisciplinary cooperation and collaboration by connecting people and resources and by: Acquiring, storing, documenting, and providing discovery tools for Penn State based research data, final reports, instruments, models and applications. Highlighting existing resources developed or housed by Penn State. Supporting access to project/program partners via collaborative map or web services. Providing metadata development citation information, Digital Object Identifiers (DOIs) and links to related publications and project websites. Members of the Penn State research community and their affiliates can easily share and house their data through the datacommons@psu. The datacommons@psu will also develop metadata for your data and provide information to support your NSF, NIH, or other agency data management plan.
Country
The SKCDC collects information on wild species and relies on submissions of observations from across the province of Saskatchewan. This data is used to inform biodiversity conservation efforts. The Saskatchewan Conservation Data Centre manages observation records for plants, animals, insects and special features of biodiversity.
eCommons is a service of the Cornell University Library that provides long-term access to a broad range of Cornell-related digital content of enduring value. eCommons accepts both educational and research-oriented content, including pre- and post-publication papers, datasets, technical reports, theses and dissertations, books, lectures, presentations and more.
Country
National ecosystem data bank (EcoDB) is a public professional scientific data repository supported by the National Ecosystem Science Data Center (NESDC) for researchers in ecology and related fields, which provides long-term preservation, publication, sharing and access services of scientific data. EcoDB provides services for both individual researchers and scientific journals. Individuals can use this repository to store, manage and publish scientific data, get feedback from others on the data, and discover scientific data shared by others through this repository. Journals can use the repository to gather, manage and review the supporting data of submitted paper. At the same time, journals can timely publish these supporting data according to their own data policies.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, digitised content, archival records, or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. Open Source code packages and other content from legacy workflows can be accessed via ETH Library @ swisscovery (https://library.ethz.ch/en/).
The KNB Data Repository is an international repository intended to facilitate ecological, environmental and earth science research in the broadest senses. For scientists, the KNB Data Repository is an efficient way to share, discover, access and interpret complex ecological, environmental, earth science, and sociological data and the software used to create and manage those data. Due to rich contextual information provided with data in the KNB, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The KNB supports rich, detailed metadata to promote data discovery as well as automated and manual integration of data into new projects. The KNB supports a rich set of modern repository services, including the ability to assign Digital Object Identifiers (DOIs) so data sets can be confidently referenced in any publication, the ability to track the versions of datasets as they evolve through time, and metadata to establish the provenance relationships between source and derived data.
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The project brings together national key players providing environmentally related biological data and services to develop the ‘German Federation for Biological Data' (GFBio). The overall goal is to provide a sustainable, service oriented, national data infrastructure facilitating data sharing and stimulating data intensive science in the fields of biological and environmental research.
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In the framework of the Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation’ (CRC/TR32, www.tr32.de), funded by the German Research Foundation from 2007 to 2018, a RDM system was self-designed and implemented. The so-called CRC/TR32 project database (TR32DB, www.tr32db.de) is operating online since early 2008. The TR32DB handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne, Bonn, Aachen, and the Research Centre Jülich) and research fields (e.g. soil and plant sciences, hydrology, geography, geophysics, meteorology, remote sensing). The data is resulting from several field measurement campaigns, meteorological monitoring, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected in the TR32DB.
The Forest Service Research Data Archive is an actively curated repository for the long-term preservation and distribution of citable research data sets that are broadly relevant to forest and grassland ecology, and the economic and social interactions of humans with these ecosystems. Most data sets were created by U.S. Forest Service scientists or by scientists funded through the U.S. Forest Service or the U.S. Joint Fire Science Program.