Analysis-of-MUAe-Latency/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: "Demetrio"
    lastname: "Ferro"
    affiliation: "Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08002 Barcelona, ES"
    id: "ORCID:0000-0003-4969-1415"

# A title to describe the published resource.
title: "A simple tool to compute Latency for MUAe data"

# Additional information about the resource, e.g., a brief abstract.
description: |
  The tool allows to compute Latency for MUAe data based on Least-Square approximation.
#  that can contain linebreaks
#  but has to maintain indentation.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Multi-Unit-Activity
  - Multicontact electrodes

# 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 Attribution-NonCommercial-ShareAlike-4.0 International
  url: https://creativecommons.org/licenses/by-nc-sa/4.0/

## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
#funding:
#  - "DFG, AB1234/5-6"
#  - "EU, EU.12345"


# 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:10.1073/pnas.2022097118"
    reftype: "IsSupplementTo"
    citation: "D. Ferro, J. van Kempen, M. Boyd, S. Panzeri and A. Thiele, PNAS 2021"
  -
    id: "doi:10.1016/j.neuron.2007.10.006"
    reftype: "IsSupplementTo"
    citation: "Pieter R.Roelfsema, MichielTolboom, Paul S.Khayat, Neuron 2007"
#  -
#    id: "pmid:nnnnnnnn"
#    reftype: "IsReferencedBy"
#    citation: "Citation3"


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Software

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