Published July 17, 2023
| Version v1
Dataset
Open
A multivariate physiological model of vagus nerve signalling during metabolic challenges in anaesthetised rats for diabetes treatment
Authors/Creators
- 1. University of Cambridge, Electrical and Electronic Engineering 9 JJ Thomson Ave Cambridge, Cambridgeshire, UK
Description
Raw recordings that support the findings of the paper. In the intact recordings, there may be more than one recoridng corresponding to the same animal. For ligated recordings, odd numbers correspond to efferent and even numbers to afferent recordings.
Notes
Please contact first author for further instructions to use this dataset if needed.
Files
Files
(26.4 GB)
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md5:34d1b4eddebf121244d712f154dc8496
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1.6 GB | Download |
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md5:62109838496d0f222e2a6f9e2bbd3306
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1.1 GB | Download |
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md5:020686d1f3f30b87c9f177d445510d57
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468.0 MB | Download |
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md5:14627d76ec2c1f8142fd7650b69525d5
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1.7 GB | Download |
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md5:fc8045197164f93640b54306f54aa8bf
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2.0 GB | Download |
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md5:31fa643d6883aa6b61296935692181a6
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1.1 GB | Download |
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md5:ca2e15d194775d98fb9c20f468a72b07
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960.0 MB | Download |
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md5:54d04f8ce458bac10b964d8fea903897
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1.2 GB | Download |
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md5:e083650f90ebd59f8d55950952508603
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1.2 GB | Download |
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md5:24aac34a9ae8788725ba613af1fd9360
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1.3 GB | Download |
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md5:424a64a82cc035fbce74f971d55da11c
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1.4 GB | Download |
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md5:63103836a5686128523443cfc59232d3
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1.0 GB | Download |
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md5:ec47f8f3fcf1b97432f5f1c7d9237ee2
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720.0 MB | Download |
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md5:71344511bd1c5f3e50106e6ad8b09458
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1.1 GB | Download |
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md5:621973aba52fbb98a88599ad71aba049
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1.5 GB | Download |
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md5:9079dd2df6517db1cc9c4194788b57d5
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1.4 GB | Download |
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md5:bb557d6f92367616080b9fea363a760c
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744.0 MB | Download |
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md5:3194533bb3114514b6d596a6089fa87e
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372.0 MB | Download |
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md5:7a90f21a34438bd134a7bfff4343e4b6
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360.0 MB | Download |
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md5:e1328bf91f1d12997e2fe13eb79f28a6
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1.3 GB | Download |
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md5:0f53e565f08430b95ff82148532f5e1a
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530.4 MB | Download |
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md5:9f301b0baa1c663a7a89af040dc66f29
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360.0 MB | Download |
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md5:0cf437db2865b734a15ca2766c7058b3
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970.2 MB | Download |
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md5:358f1945edfd6658cdec1a9f54da9d32
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1.2 GB | Download |
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md5:be5351951622cb5968b1aad296d62072
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841.9 MB | Download |