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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: "Sebastian"
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+ lastname: "Kloubert"
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+ affiliation: "University Hospital Cologne"
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+
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+ -
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+ firstname: "Markus"
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+ lastname: "Aswendt"
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+ affiliation: "University Hospital Cologne"
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+ id: "ORCID:0000-0003-1423-0934"
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+
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+# A title to describe the published resource.
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+title: "Automated classification of sensorimotor deficit in stroke mice"
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+
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+# Additional information about the resource, e.g., a brief abstract.
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+description: "this repository contains the data and evaluation results of the master thesis 'Automated classification of sensorimotor deficit in stroke mice' by Sebastian Kloubert.
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+The thesis aimed to evaluate whether a combination of different camera angles
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+and the application of the software package DeepLabCut (DLC) to video tracking
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+data is appropriate to automatically detect events related to sensorimotor behavior
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+of the behavior tests Grid Walk and Cylinder and simultaneously
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+overcome the manual rater-based detection errors. The new test setup promises
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+a better view of the behavior tests Grid Walk and Cylinder for manual analysis.
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+The attempt to use these new camera angles to automate the behavior tests by applying
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+the software package DeepLabCut failed for both the two-dimensional and the three-dimensional
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+analysis approach and did not overcome manual rater-based detection errors.
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+However, several possible improvements can be outlined, which should allow for quick
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+automation in future work. The calculation of additional kinematic features promises
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+to make the occurrence of the events related to sensorimotor behavior of the behavior
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+tests more precise and perhaps in the future to allow a separation of stroke and healthy mice.
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+
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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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+ - DeepLabCut
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+ - DLC
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+ - Cylinder
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+ - Grid Walk
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+ - 3D
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+ - Random Forest
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+ - Feature Importance
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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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+ url: "https://creativecommons.org/licenses/by-nc/4.0/"
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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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