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- # Metadata for DOI registration according to DataCite Metadata Schema 4.1.
- # For detailed schema description see https://doi.org/10.5438/0014
- ## Required fields
- # The main researchers involved. Include digital identifier (e.g., ORCID)
- # if possible, including the prefix to indicate its type.
- authors:
- -
- firstname: "Dominik Florian"
- lastname: "Aschauer"
- affiliation: "JGU Mainz"
- id: "ORCID:0000-0002-2600-999X"
- -
- firstname: "Jens-Bastian"
- lastname: "Eppler"
- affiliation: "FIAS Frankfurt"
- id: "ORCID:0000-0003-4288-0918"
- # A title to describe the published resource.
- title: "Chronic in vivo calcium imaging dataset of neuronal populations in the auditory cortex of passively listening mice. Baseline and auditory cued fear conditioning cohorts."
- # Additional information about the resource, e.g., a brief abstract.
- description: |
- In this repository is a dataset of chronically imaged neuronal populations in the auditory cortex of mice being exposed to a set of short sound stimuli.
- The imaging was performed on four timepoints two days apart each over the course of seven days.
- Two different experimental conditions, one cohort was imaged under baseline conditions without any behavioral manipulations.
- The other cohort was imaged with an auditory cued fear conditioning session in between the second and third imaging time point.
- Image time series are two-channel images, channel one is histone fused mCherry (red fluorescent protein), H2B::mCherry.
- Channel two is GCaMP6m, green fluorescent genetically encoded calcium indicator.
- Additionally, we provide the information about auditory sensory stimulations in the file 'stimulation_info.zip'.
- Additionally, we provide the information about extracted rois after image processing in the file 'roi_coordinates.zip'. ROIs were aligned using a software package for image processing which can be downloaded from a public repository (DOI: 10.5281/zenodo.5822486).
- Further information about analysis of this dataset can be found in the corresponding published article.
- # Lit of keywords the resource should be associated with.
- # Give as many keywords as possible, to make the resource findable.
- keywords:
- - Neuroscience
- - Auditory
- - Mouse
- - Two-Photon
- - Calcium Imaging
- - Chronic
- - Basal Conditions
- - Fear Conditioning
- - Learning
- # License information for this resource. Please provide the license name and/or a link to the license.
- # Please add also a corresponding LICENSE file to the repository.
- license:
- name: "Creative Commons CC0 1.0 Public Domain Dedication"
- url: "https://creativecommons.org/publicdomain/zero/1.0/"
- ## Optional Fields
- # Funding information for this resource.
- # Separate funder name and grant number by comma.
- # Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
- # Please provide digital identifier (e.g., DOI) if possible.
- # Add a prefix to the ID, separated by a colon, to indicate the source.
- # Supported sources are: DOI, arXiv, PMID
- # In the citation field, please provide the full reference, including title, authors, journal etc.
- references:
- -
- id: "doi:10.5281/zenodo.5822486"
- reftype: "IsSupplementTo"
- citation: "Eppler, Jens-Bastian. (2022). 2-photon data preprocessing pipeline (1.0). Zenodo."
- # Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
- resourcetype: Dataset
- # Do not edit or remove the following line
- templateversion: 1.2
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