The Consortium provides data resources for structured experimental definitions and models, and in turn builds on many other open databases for models at various scales.

The Database of Quantitative Cellular Signalling (DOQCS)  is a repository of models of signalling pathways present in the neurons. It includes reaction schemes, concentrations, rate constants, as well as annotations on the models. The database provides a range of search, navigation, and comparison functions.
BioModels is a repository of mathematical models of biological and biomedical systems. It hosts a vast selection of existing literature-based physiologically and pharmaceutically relevant mechanistic models in standard formats. Our mission is to provide the systems modelling community with reproducible, high-quality, freely-accessible models published in the scientific literature.
Open Source Brain is an online repository of computational models of ion channels, synapses, neurons, simple network models, and more detailed three-dimensional models of neuronal microcircuits from multiple brain regions and species. It is intended to facilitate sharing and collaborative development of neuronal models by researchers around the world.
ModelDB is a modeling resource part of the SenseLab Project inititative. It is used for storing and efficiently retrieving computational neuron models.
NeuroMorpho.Org is a centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications. It contains contributions from over 400 laboratories worldwide and is continuously updated as new morphological reconstructions are collected, published, and shared.
FindSim (Framework for Integrating Neuronal Data and SIgnaling Models) to anchor models to structured experimental datasets. FindSim is a framework for integrating many individual electrophysiological and biochemical experiments with large, multiscale models so as to systematically refine and validate the model. We use a structured format for encoding the conditions of many standard physiological and pharmacological experiments, specifying which parts of the model are involved, and comparing experiment outcomes with model output.
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