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Found 5 result(s)

Health Data Research Innovation Gateway

HDRUK Innovation Gateway

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The Health Data Research Innovation Gateway (the ‘Gateway’) provides a common entry point to discover and enquire about access to UK health datasets for research and innovation. It provides detailed information about the datasets, which are held by members of the UK Health Data Research Alliance, such as a description, size of the population, and the legal basis for access. The Gateway includes the ability to search for research projects, publications and health data tools, such as those related to COVID-19. New interactive features provide a community forum for researchers to collaborate and connect and the ability to add research projects. The Innovation Gateway does not hold or store any datasets or patient or health data but rather acts as a portal to allow discovery of datasets and to request access to them for health research. A dataset is a collection of related individual pieces of data but in the case of health data, identifiable information (e.g. name or NHS number) is removed and data is de-identified where possible. When you access the Gateway you will not be able to view or extract the data itself. Instead, you will be able to see information that describes what the different datasets are (e.g. where the dataset has come from, a description of the dataset, the time period and the geographical areas the dataset covers).

Environmental Change Network

ECN Data Centre

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The Environmental Change Network is the UK’s long-term environmental monitoring and research (LTER) programme. We make regular measurements of plant and animal communities and their physical and chemical environment. Our long-term datasets are used to increase understanding of the effects of climate change, air pollution and other environmental pressures on UK ecosystems.

modENCODE

Model Organism ENCyclopedia of DNA Elements

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<<<!!!<<< As of 2023, support to maintain the www.modencode.org and intermine.modencode.org sites have been retired following the end of funding. To access data from the modENCODE project, or for questions regarding the data they make available, please visit these databases: Fly data: FlyBase: ModENCODE data at FlyBase: https://wiki.flybase.org/wiki/FlyBase:ModENCODE_data_at_FlyBase FlyBase: https://www.re3data.org/repository/r3d100010591 Worm data: WormBase https://www.re3data.org/repository/r3d100010424 Data, including modENCODE and modERN project data, is also available at the ENCODE Portal: https://www.re3data.org/repository/r3d100013051 (search metadata and view datasets for Drosophila and Caenorhabditis https://www.encodeproject.org/matrix/?type=Experiment&control_type!=*&status=released&replicates.library.biosample.donor.organism.scientific_name=Drosophila+melanogaster&replicates.library.biosample.donor.organism.scientific_name=Caenorhabditis+elegans&replicates.library.biosample.donor.organism.scientific_name=Drosophila+pseudoobscura&replicates.library.biosample.donor.organism.scientific_name=Drosophila+mojavensis). >>>!!!>>>

NASC

The European Arabidopsis Stock Centre

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The Nottingham Arabidopsis Stock Centre (NASC) provides seed and information resources to Europe researchers.

Virgo Millenium Database

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When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.