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+# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
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+# For detailed schema description see https://doi.org/10.5438/0014
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+
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+## Required fields
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+
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+# The main researchers involved. Include digital identifier (e.g., ORCID)
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+# if possible, including the prefix to indicate its type.
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+authors:
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+ -
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+ firstname: "Alastair"
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+ lastname: "Loutit"
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+ affiliation: "UNSW Sydney"
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+ id: "ORCID:0000-0002-4102-8814"
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+ -
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+ firstname: "Jason"
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+ lastname: "Potas"
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+ affiliation: "UNSW Sydney"
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+ id: "ORCID:0000-0002-1973-8211"
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+
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+
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+# A title to describe the published resource.
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+title: "Surface potential recordings from rat brainstem dorsal column nuclei in response to tactile and proprioceptive stimuli"
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+
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+# Additional information about the resource, e.g., a brief abstract.
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+description: |
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+ The raw data are electrical signals recorded from the surface of rat brainstem using a 7-electrode surface array.
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+ Rats were urethane anaesthetised and 4 different tactile and proprioceptive stimuli were applied to each of the four limbs while the electrical brainstem signals were simultaneously recorded.
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+ Twenty-eight different types of signal features were quantified from these recordings and stored in matrices that can be used as inputs for machine-learning.
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+ The features were quantified from 17 different time windows ranging from 20 ms to 1000 ms in length.
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+ In total, there is data from six rats (n = 6).
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+ For more details and the analysis and discussion of this dataset, see the paper at
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+ doi: https://doi.org/10.1101/831164
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+
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+# Lit of keywords the resource should be associated with.
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+# Give as many keywords as possible, to make the resource findable.
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+keywords:
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+ - Neuroscience
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+ - somatosensation
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+ - electrophysiology
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+ - brain
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+ - brainstem
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+ - neural coding
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+ - touch
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+ - proprioception
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+ - rat
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+ - in vivo
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+
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+# License information for this resource. Please provide the license name and/or a link to the license.
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+# Please add also a corresponding LICENSE file to the repository.
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+license:
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+ name: "Creative Commons CC0 1.0 Public Domain Dedication"
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+ url: "https://creativecommons.org/publicdomain/zero/1.0/"
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+
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+
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+
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+## Optional Fields
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+
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+# Funding information for this resource.
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+# Separate funder name and grant number by comma.
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+funding:
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+ - "Bootes Medical Research Foundation"
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+
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+
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+# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
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+# Please provide digital identifier (e.g., DOI) if possible.
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+# Add a prefix to the ID, separated by a colon, to indicate the source.
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+# Supported sources are: DOI, arXiv, PMID
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+# In the citation field, please provide the full reference, including title, authors, journal etc.
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+references:
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+ -
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+ id: "doi: https://doi.org/10.1101/831164"
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+ reftype: "IsSupplementTo"
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+ citation: "Novel neural signal features permit robust machine-learning of natural tactile- and proprioception-dominated dorsal column nuclei signals Alastair J Loutit, Jason R Potas bioRxiv 831164; doi: https://doi.org/10.1101/831164"
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+ -
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+
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+
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+
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+# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
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+resourcetype: Dataset
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+
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+# Do not edit or remove the following line
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+templateversion: 1.2
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