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Found 13 result(s)
Exposures in the period from conception to early childhood - including fetal growth, cell division, and organ functioning - may have long-lasting impact on health and disease susceptibility. To investigate these issues the Danish National Birth Cohort (Better health in generations) was established. A large cohort of pregnant women with long-term follow-up of the offspring was the obvious choice because many of the exposures of interest cannot be reconstructed with suffcient validity back in time. The study needed to be large, and the aim was to recruit 100,000 women early in pregnancy, and to continue follow-up for decades. Exposure information was collected by computer-assisted telephone interviews with the women twice during pregnancy and when their children were six and 18 months old. Participants were also asked to fill in a self-administered food frequency questionnaire in mid-pregnancy. Furthermore, a biological bank has been set up with blood taken from the mother twice during pregnancy and blood from theumbilical cord taken shortly after birth.
ICES is an intergovernmental organization whose main objective is to increase the scientific knowledge of the marine environment and its living resources and to use this knowledge to provide unbiased, non-political advice to competent authorities.
JASPAR is the leading open-access database of matrix profiles describing the DNA-binding patterns of transcription factors and other proteins interacting with DNA in a sequence-specific manner.
STRING is a database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations; they are derived from four sources: - Genomic Context - High-throughput Experiments - (Conserved) Coexpression - Previous Knowledge STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable.
CBS offers Comprehensive public databases of DNA- and protein sequences, macromolecular structure, g ene and protein expression levels, pathway organization and cell signalling, have been established to optimise scientific exploitation of the explosion of data within biology. Unlike many other groups in the field of biomolecular informatics, Center for Biological Sequence Analysis directs its research primarily towards topics related to the elucidation of the functional aspects of complex biological mechanisms. Among contemporary bioinformatics concerns are reliable computational interpretation of a wide range of experimental data, and the detailed understanding of the molecular apparatus behind cellular mechanisms of sequence information. By exploiting available experimental data and evidence in the design of algorithms, sequence correlations and other features of biological significance can be inferred. In addition to the computational research the center also has experimental efforts in gene expression analysis using DNA chips and data generation in relation to the physical and structural properties of DNA. In the last decade, the Center for Biological Sequence Analysis has produced a large number of computational methods, which are offered to others via WWW servers.
GBIF is an international organisation that is working to make the world's biodiversity data accessible everywhere in the world. GBIF and its many partners work to mobilize the data, and to improve search mechanisms, data and metadata standards, web services, and the other components of an Internet-based information infrastructure for biodiversity. GBIF makes available data that are shared by hundreds of data publishers from around the world. These data are shared according to the GBIF Data Use Agreement, which includes the provision that users of any data accessed through or retrieved via the GBIF Portal will always give credit to the original data publishers.
This is a database for vegetation data from West Africa, i.e. phytosociological and dendrometric relevés as well as floristic inventories. The West African Vegetation Database has been developed in the framework of the projects “Sustainable Use of Natural Vegetation in West Africa” (SUN, and “Biodiversity Transect Analysis in Africa” (BIOTA,
Biological collections are replete with taxonomic, geographic, temporal, numerical, and historical information. This information is crucial for understanding and properly managing biodiversity and ecosystems, but is often difficult to access. Canadensys, operated from the Université de Montréal Biodiversity Centre, is a Canada-wide effort to unlock the biodiversity information held in biological collections.
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The database contains photographs of plants from West Africa in a broad geographical sense, mainly from the savanna regions.
The Danish Data Archive (DDA) is the national social science data archive. DDA is primaily used by researchers and students wanting access to data materials created by Danish researchers or about Denmark. DDA is dedicated to the acquisition, preservation and dissemination of (primarily) quantitative data created by researchers from social science, health science and history.
!!! the repository is no longer available, archived site:!!! DataBox is a digital archive for scientific primary data for use by researchers at The University of Copenhagen. DataBox is available to researchers, departments and institutes at the University and research groups with an affiliation to the University of Copenhagen. DataBox serves as an additional backup system, which archives data in a structured form for both short and medium term preservation. It can also serve as a way of sharing data. Each researcher/group can create his/her own space in DataBox and can store and process the data, and if he/she chooses to share his/her data. Version history of files is retained by the system.
!!!Sorry, but the InGeoCloudS platform has been stopped on AWS...!!! InGeoCloudS is to demonstrate the possibilities in using cloud computing for a common infrastructure for geodata. Cloud computing provides access to almost unlimited resources for data storage and calculations at large data centres. The project will demonstrate the possibilities for using the cloud for common basic data and for sharing in - telligent services which can combine data and e.g. deliver themes for managing Europe's natural resources and environment.
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Systema Dipterorum (and the former Biosystematic Database of World Diptera) is a source of names and information about those names and the taxa to which they apply. Systema Dipterorum is a set of tools to aid users in finding information about flies. The two main components of Systema Dipterorum are the Nomenclator and the Reference database.