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  • This site provides access to the research outputs of the Université dAlger 2. Users may set up RSS feeds to be alerted to new content. The interface is available in English.

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  • NeuronDB provides a dynamically searchable database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

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  • The CESSDA Data Catalogue contains the metadata of all data in the holdings of CESSDA service providers. It is a one-stop-shop for search and discovery, enabling effective access to European research data for researchers. Details of over 40, 000 data collections are listed. These are harvested from fifteen different CESSDA Service Providers.

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  • Predictive toxicology database of (Q)SAR models and chemical structures they were trained from.

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359 Data sources
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  • This site provides access to the research outputs of the Université dAlger 2. Users may set up RSS feeds to be alerted to new content. The interface is available in English.

    more_vert
  • NeuronDB provides a dynamically searchable database of three types of neuronal properties: voltage gated conductances, neurotransmitter receptors, and neurotransmitter substances. It contains tools that provide for integration of these properties in a given type of neuron and compartment, and for comparison of properties across different types of neurons and compartments.

    more_vert
  • more_vert
  • The CESSDA Data Catalogue contains the metadata of all data in the holdings of CESSDA service providers. It is a one-stop-shop for search and discovery, enabling effective access to European research data for researchers. Details of over 40, 000 data collections are listed. These are harvested from fifteen different CESSDA Service Providers.

    more_vert
  • Predictive toxicology database of (Q)SAR models and chemical structures they were trained from.

    more_vert
  • more_vert
  • more_vert
  • more_vert
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