DA-Pharmacology_LFP_data/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: "Sampath K.T"
    lastname: "Kapanaiah"
    affiliation: "Institute for Applied Physiology, Ulm University, Germany"    
  -
    firstname: "Holger"
    lastname: "Rosenbrock"
    affiliation: "Boehringer Ingelheim Pharma GmbH & Co. KG, Div. Research Germany, Biberach an der Riss, Germany"    
  -
    firstname: "Bastian"
    lastname: "Hengerer"
    affiliation: "Boehringer Ingelheim Pharma GmbH & Co. KG, Div. Research Germany, Biberach an der Riss, Germany"
  -
    firstname: "Dennis"
    lastname: "Kaetzel"
    affiliation: "Institute for Applied Physiology, Ulm University, Germany"

# A title to describe the published resource.
title: "Neural effects of dopaminergic compounds revealed by multi-site electrophysiology in mice and interpretable machine-learning"

# Additional information about the resource, e.g., a brief abstract.
description: |
  The LFP_RawData folder contains local field potential (LFP) recordings obtained from depth electrodes in the mice brain regions,
  including the prelimbic cortex (PrL), mediodorsal thalamus (MD), dorsal hippocampal fissure (dCA1),
  dorsal hippocampal CA3 subfield (dCA3), and ventral hippocampal fissure (vHC).
  Pharmaco-LFP experiments were conducted approximately every third day in a within-subject design with a latin-square,
  randomized drug-assignment across the cohort. Applications included: saline (Sal; vehicle 1),
  0.1% TWEEN80/saline (T/Sal; vehicle 2), 1 and 3 mg/kg clozapine (CLZ1 and CLZ3; clozapine dihydrochloride, HB6129, HelloBio, GB),
  0.5 mg/kg raclopride (Raclo; S(-)raclopride(+)-tartrate, R121 Sigma, DE), 0.1 mg/kg SCH23390 (SCH; SCH23390 hydrochloride, 0925 Tocris, GB),
  and 2 mg/kg amphetamine (Amph; d-amphetamine sulfate, A-5880, Sigma); vehicle 2 was used for raclopride,
  all other compounds were applied in saline.
  Mice were recorded in Type-III open-field cages (Tecniplast, IT) with fresh saw-dust for a 10 min baseline period,
  after which the compound was applied i.p., followed by a further recording for 50 min.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Antipsychotics
  - Neural connectivity
  - Granger causality
  - Power spectral density
  - Electrophysiology
  - Pharmaco-EEG
  - Local field potential

# 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: CC0
  url: 'http://creativecommons.org/publicdomain/zero/1.0'

# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
references:
  -
    id: "doi: 10.3389/fphar.2024.1412725"
    reftype: "IsSupplementTo"
    citation: "Kapanaiah, S. K. T., Rosenbrock, H., Hengerer, B., & Kätzel, D. (2024). Neural effects of dopaminergic compounds revealed by multi-site electrophysiology and interpretable machine-learning. Frontiers in Pharmacology, 15. https://doi.org/10.3389/fphar.2024.1412725"

resourcetype: Dataset
# Do not edit or remove the following line
templateversion: 1.2