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Found 5 result(s)

ORDA - The University of Sheffield Research Data Catalogue and Repository

Discover research from The University of Sheffield

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The figshare service for the University of Sheffield allows researchers to store, share and publish research data. It helps the research data to be accessible by storing Metadata alongside datasets. Additionally, every uploaded item receives a Digital Object identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.

melbourne.figshare.com

University of Melbourne data repository

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melbourne.figshare.com is a specialised service that has been tailored according to specific needs and requirements of the University and our community of researchers. The service offered at the University is free to use, provides 100GB of data, and stores all data on the University's storage system.

STOREDB

Sustaining access to Tissues and data frOm Radiobiological Experiments

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STOREDB is a platform for the archiving and sharing of primary data and outputs of all kinds, including epidemiological and experimental data, from research on the effects of radiation. It also provides a directory of bioresources and databases containing information and materials that investigators are willing to share. STORE supports the creation of a radiation research commons.

PDBj

Protein Data Bank Japan

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PDBj (Protein Data Bank Japan) provides a centralized PDB archive of macromolecular structures, integrated tools for data retrieval, visualization, and functional characterization. PDBj is supported by JST-NBDC and Osaka University.

Kinetic models of biological systems

KiMoSys

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KiMoSys, a web application for quantitative KInetic MOdels of biological SYStems. Kinetic models, with the aim to understand and subsequently design the metabolism of organism of interest are constructed iteratively and require accurate experimental data for both the generation and verification of hypotheses. Therefore, there is a growing requirement for exchanging experimental data and models between the systems biology community, and to automate as much as possible the kinetic model building, editing, simulation and analysis steps.