PACK_in-vivo/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: "Piret"
    lastname: "Kleis"
    affiliation: "Experimental Epilepsy Research, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, 79106, Freiburg, Germany"
    id: "ORCID:0000-0001-9247-8842"  
  -
    firstname: "Enya"
    lastname: "Paschen"
    affiliation: "Experimental Epilepsy Research, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, 79106, Freiburg, Germany"
    id: "ORCID:0000-0001-6323-3889"
  -
    firstname: "Ute"
    lastname: "Häussler"
    affiliation: "Experimental Epilepsy Research, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, 79106, Freiburg, Germany"
    id: "ORCID:0000-0001-5601-9833"    
  -
    firstname: "Yinth Andrea"
    lastname: "Bernal Sierra"
    affiliation: "Experimental Biophysics, Institute of Biology, Humboldt University of Berlin, 10115 Berlin, Germany "
  -
    firstname: "Carola"
    lastname: "Haas"
    affiliation: "Experimental Epilepsy Research, Department of Neurosurgery, Medical Center - University of Freiburg, Faculty of Medicine, 79106, Freiburg, Germany"


# A title to describe the published resource.
title: "Long-term in vivo application of a potassium channel-based optogenetic silencer in the healthy and epileptic mouse hippocampus"

# Additional information about the resource, e.g., a brief abstract.
description: |
  Here we provide the electrophysiological datasets and Python scripts used to analyze the data, which underlie the conclusions in our paper about application of the novel potassium channel-based optogenetic silencer, PACK, in vivo (Kleis et al., 2021, preprint in BioRxiv and submitted publication in BMC Biology). Local field potentials (LFPs) were recorded with wire electrodes, which were chronically implanted into the hippocampus of freely behaving healthy or non-epileptic adult male mice. We had six experimental groups, which are presented in the file named, LFP_nomenclature_and_datasets.xlsx. Further details about the experimental groups and methods are presented in the published article.
  The datasets contain LFPs resampled at 500 Hz in .h5 file format. 
  The Python scripts contain functions for calculating and plotting line length, power spectral density, and spectrograms.


# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - bPAC
  - cyclic AMP
  - Electrophysiology
  - Epilepsy
  - Hippocampus
  - Kainate
  - Neuroscience
  - Optogenetic inhibition
  - Potassium


# 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.
funding:
  - "DFG, HA 1443/11-1"
  - "DFG, SPP1926"


# 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: "https://doi.org/10.1101/2021.09.06.459077 "
    reftype: "IsSupplementTo"
    citation: "Kleis, P., Paschen, E., Haeussler, U., Sierra, Y.A.B. and Haas, C.A., 2021. In vivo characterization and application of a novel potassium channel-based optogenetic silencer in the healthy and epileptic mouse hippocampus. bioRxiv."


# 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