Data Sharing Platform
This platform is designed to enable the sharing of several classes of research data generated by the Medical Research Council Brain Network Dynamics Unit at the University of Oxford (MRC BNDU). The datasets could include:
- Electrophysiological recording from humans and rodents
- Digital micrographs of brain tissue
- Scripts and code used for analysis of data
- Printable 3D models and microcontroller code
- Code for modelling of neuronal networks
All downloads require making an account; the primary reason for this is to enable us to monitor downloads of datasets which allows us to report this to funding bodies.
All downloads require registering for an account; the primary reason for this is to enable us to monitor downloads of datasets which allows us to report this to funding bodies. There is no approval process for accounts, so there are no delays after confirming the email address given during registration.
The majority of downloads are available to all registered users, upon agreeing to the terms and conditions, which are specific to each dataset. We may also list datasets that require approval for download access. If this is the case, the reasoning for this decision will be described on the dataset page, as well as the conditions that have to be met before access will be granted.
Datasets on this site are licensed under an number of different terms, please check the full terms linked from the individual dataset pages. To maximise the potential reuse of our data, our most frequently used licences are Creative Commons Attribution ShareAlike 4.0 International (CC BY-SA 4.0) or Attribution NonCommercial ShareAlike 4.0 International (CC BY-NC-SA 4.0).
If you would like to license a dataset under different terms, please contact us; for example if you plan to make commercial-use derivative of a dataset that you would like to license with more restrictive terms, which is not compatible with the Share Alike clause.
Although the datasets on this site are be released under various terms, they all require clear attribution of credit when reused.
Creators [Authors], year of publication of the dataset, title of the dataset, publisher of the dataset, and an identifier [in the form of a DOI if one is allocated, or the full URL to the dataset page on this site if not].
An example in the Oxford referencing style:
Herz, D. (2017), Neural correlates of speed-accuracy adjustments in the subthalamic nucleus [dataset] (University of Oxford), doi:10.5287/bodleian:VEd27b0Yr
Some datasets may be revised, particularly those that comprise of scripts, programmes, or models. In these cases, the datasets will have version numbers allocated, and these should be also cited. This site will retain all versions of datasets.