Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 32 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.
bugwood.org is the host website of the Center for Invasive Species and Ecosystem Health at the University of Georgia (Formerly: Bugwood Network). The Center aims to develop, consolidate and disseminate information and programmes focused on invasive species, forest health, natural resources and agricultural management through technology development, programmes implementation, training, applied research and public awareness at state, regional, national and international levels. The site gives details of its products (Bugwood Image Database; Early Detection and Distribution Mapping and Bugwoodwiki). Details of its projects, services and personnel are provided. Users can also access image databases on Forestry, Insects, IPM, Invasive Species, Forest Pests, weed and Bark Beetle.
EarthWorks is a discovery tool for geospatial (a.k.a. GIS) data. It allows users to search and browse the GIS collections owned by Stanford University Libraries, as well as data collections from many other institutions. Data can be searched spatially, by manipulating a map; by keyword search; by selecting search limiting facets (e.g., limit to a given format type); or by combining these options.
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
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.
Country
OpenAgrar is an open access repository which publishes, stores, archives and distributes publications, publication references and research data. Its resources can be searched and used by everyone. It contains amongst others theses, reports, conference proceedings, journal articles, books, institutional documents, research datasets, videos and interviews.
The Avian Knowledge Network (AKN) is an international network of governmental and non-governmental institutions and individuals linking avian conservation, monitoring and science through efficient data management and coordinated development of useful solutions using best-science practices based on the data.
TreeGenes is a genomic, phenotypic, and environmental data resource for forest tree species. The TreeGenes database and Dendrome project provide custom informatics tools to manage the flood of information.The database contains several curated modules that support the storage of data and provide the foundation for web-based searches and visualization tools. GMOD GUI tools such as CMAP for genetic maps and GBrowse for genome and transcriptome assemblies are implemented here. A sample tracking system, known as the Forest Tree Genetic Stock Center, sits at the forefront of most large-scale projects. Barcode identifiers assigned to the trees during sample collection are maintained in the database to identify an individual through DNA extraction, resequencing, genotyping and phenotyping. DiversiTree, a user-friendly desktop-style interface, queries the TreeGenes database and is designed for bulk retrieval of resequencing data. CartograTree combines geo-referenced individuals with relevant ecological and trait databases in a user-friendly map-based interface. ---- The Conifer Genome Network (CGN) is a virtual nexus for researchers working in conifer genomics. The CGN web site is maintained by the Dendrome Project at the University of California, Davis.
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 NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK).
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.
Country
The National Microbial Resource Center (NMRC) is an important part of the national science and technology resources sharing service platform, responsible for the research, conservation, management and sharing of national microbial strain resources, ensuring the strategic security and sustainable use of microbial strain resources, and providing support for scientific and technological innovation, industrial development and social progress. The main tasks of the NMRC are: to collect, organize and preserve microbial strain resources around national needs and scientific research; to undertake the task of remitting, organizing and preserving strain resources resulting from the implementation of science and technology projects; to be responsible for the development and improvement of microbial strain resource standards, and to standardize and guide the development of microbial strain resources in various fields. The company is responsible for the development and improvement of microbial strain resource standards, standardizing and guiding the protection and utilization of microbial strain resources in various fields; building and maintaining the national strain resource online service system, and carrying out social sharing of physical and information resources of strains; developing key common technologies, creating new resources, and carrying out customized services according to innovative needs; carrying out scientific popularization for the society; carrying out international exchange and cooperation on strain resources, participating in relevant international academic organizations, and safeguarding national interests and Security
The Landcare Research DataStore ('the DataStore') is the general data catalogue and repository for Environmental Research Data from Landcare Research. Much of Landcare Research’s research data is available through specific web pages, but many datasets sit outside these areas. This data repository provides a mechanism for our staff to deposit and document this wider range of datasets so that they may be discovered and potentially re-used.
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.
Country
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.
Country
Biodiversity Maps provides access to high quality information on Ireland's biological diversity. Use the system to find out what is known about the different species that occur in Ireland, where our protected and threatened species occur, and who is recoding biodiversity. Also find out what is known about the biodiversity of your locality. The National Biodiversity Data Centre endeavours to provide high quality information through this data portal.
Country
Attention! Data sets are not updated anymore. Please, visit the BonaRes Repositor​ium​ for new datasets. Open Research Data provides quality assessed data and their metadata such as context information on measurement objectives, equipment, methods, testing and investigation areas. The purpose of the repository is to secure quality, integrity and long-term availability of landscape and ecosystem research data as well as to enhance accessibility of free data from ZALF long-term monitoring campaigns, landscape laboratories (Agro-ScapeLabs), field trials and experiments. The Leibniz Centre for Agricultural Landscape Research (ZALF) explores ecosystems in agricultural landscapes and the development of ecologically and economically viable land use systems. ZALF combines scientific expertise from agricultural science, geosciences, biosciences and socio-economics.
The IFRI research network examines how governance arrangements affect forests and the people who depend on them. It is comprised of 14 Collaborating Research Centers located around the globe. Researchers use a common data collection method to ensure that sites can be compared across space and time. The IFRI database contains information about biodiversity, livelihoods, institutions, and forest carbon for over 250 sites in 15 countries between 1992 and the present.
Country
The Mansfeld's World Database of Agriculture and Horticultural Crops is an online database. As a contribution to the project "Federal Information System on Genetic Resources" (BIG, http://www.big-flora.de/). It reflects the contents of "Mansfeld's Encyclopedia of Agricultural and Horticultural Crops" (Hanelt and IPK 2001) and contains information on 6,100 crop plant species, excluding forestry and ornamental plants. Each species entry provides nomenclature and synonymy, common names in different languages, spontaneous distribution and regions of cultivation, uses, images, references, but also the ancestral species and notes on the phylogeny, variation and history.
Country
The CRC1211DB is the project-database of the Collaborative Research Centre 1211 "Earth -Evolution at the dry limit" (CRC1211, https://sfb1211.uni-koeln.de/) funded by the German Research Foundation (DFG, German Research Foundation – Projektnummer 268236062). The project-database is a new implementation of the TR32DB and online since 2016. It 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, biology, geography, geology, meteorology and 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.
CottonGen is a new cotton community genomics, genetics and breeding database being developed to enable basic, translational and applied research in cotton. It is being built using the open-source Tripal database infrastructure. CottonGen consolidates and expands the data from CottonDB and the Cotton Marker Database, providing enhanced tools for easy querying, visualizing and downloading research data.