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IntEnz contains the recommendation of the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology on the nomenclature and classification of enzyme-catalyzed reactions. Users can browse by enzyme classification or use advanced search options to search enzymes by class, subclass and sub-subclass information.
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The ICES Data Repository consists of record-level, coded and linkable health data sets. It encompasses much of the publicly funded administrative health services records for the Ontario population eligible for universal health coverage since 1986 and is capable of integrating research-specific data, registries and surveys. Currently, the repository includes health service records for as many as 13 million people. Files in the ICES Data Repository are described in the Data Dictionary. This includes ICES General Use Data, as well as ICES Controlled Use Data. Datasets obtained by ICES for specific project(s) (project-specific data) are not described in the Data Dictionary. The ICES Data Dictionary is an essential resource for anyone doing research at ICES. The information in this Data Dictionary is almost entirely based on the metadata belonging to the datasets described.
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.