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heidICON is provided by Heidelberg University Library and is the "Virtual Slide Collection" in progress of organization of Heidelberg University. In addition to record graphic material on current interest for research and teaching, the University departments and institutes can digitize and transfer their already existing slide collections.
SeaDataNet is a standardized system for managing the large and diverse data sets collected by the oceanographic fleets and the automatic observation systems. The SeaDataNet infrastructure network and enhance the currently existing infrastructures, which are the national oceanographic data centres of 35 countries, active in data collection. The networking of these professional data centres, in a unique virtual data management system provide integrated data sets of standardized quality on-line. As a research infrastructure, SeaDataNet contributes to build research excellence in Europe.
The Database explores the interactions of chemicals and proteins. It integrates information about interactions from metabolic pathways, crystal structures, binding experiments and drug-target relationships. Inferred information from phenotypic effects, text mining and chemical structure similarity is used to predict relations between chemicals. STITCH further allows exploring the network of chemical relations, also in the context of associated binding proteins.
This database is a global archive and describes plant traits from throughout the globe. TRY is a network of vegetation scientists headed by DIVERSITAS, IGBP, iDiv, the Max Planck Institute for Biogeochemistry and an international Advisory Board. About half of the data are geo-referenced, providing a global coverage of more than 8000 measurement sites.
The European Mouse Mutant Archive – EMMA is a non-profit repository for the collection, archiving (via cryopreservation) and distribution of relevant mutant mouse strains essential for basic biomedical research. The laboratory mouse is the most important mammalian model for studying genetic and multi-factorial diseases in man. The comprehensive physical and data resources of EMMA support basic biomedical and preclinical research, and the available research tools and mouse models of human disease offer the opportunity to develop a better understanding of molecular disease mechanisms and may provide the foundation for the development of diagnostic, prognostic and therapeutic strategies.