Aschauer_invivo_chronic_calcium_imaging_auditorycortex/datacite.yml

# 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.

# 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.xxx/zzzz"
    reftype: "IsSupplementTo"
    citation: "Citation1"
  -
    id: "arxiv:mmmm.nnnn"
    reftype: "IsSupplementTo"
    citation: "Citation2"
  -
    id: "pmid:nnnnnnnn"
    reftype: "IsReferencedBy"
    citation: "Citation3"


# 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