NatComm2020/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: "Ramon"
    lastname: "Garcia-Cortadella"
    affiliation: "Affiliation1"
  -
    firstname: "Gerrit"
    lastname: "Schwesig"
    affiliation: "Affiliation2"
  -
    firstname: "Christoph"
    lastname: "Jeschke"
    affiliation: "Affiliation3"
  -
    firstname: "Xavi"
    lastname: "Illa"
    affiliation: "Affiliation4,5"
  -
    firstname: "Anna"
    lastname: "L. Gray"
    affiliation: "Affiliation6"
  -
    firstname: "Sinead"
    lastname: "Savage"
    affiliation: "Affiliation6"
  -
    firstname: "Emmanouela"
    lastname: "Stamatidou"
    affiliation: "Affiliation6"
  -
    firstname: "Ingo"
    lastname: "Schiessl"
    affiliation: "Affiliation7"
  -
    firstname: "Eduard"
    lastname: "Masvidal-Codina"
    affiliation: "Affiliation4,5"
  -
    firstname: "Kostas"
    lastname: "Kostarelos"
    affiliation: "Affiliation1,6"
  -
    firstname: "Anton"
    lastname: "Guimerà-Brunet"
    affiliation: "Affiliation4,5"
  -
    firstname: "Anton"
    lastname: "Sirota"
    affiliation: "Affiliation2"
  -
    firstname: "Jose A."
    lastname: "Garrido"
    affiliation: "Affiliation1,8"

# A title to describe the published resource.
title: "Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity "

# Additional information about the resource, e.g., a brief abstract.
description: |
  Graphene active sensors have emerged 
  as a promising building block for large-scale 
  neural interfaces. The authors evaluate their 
  performance in terms of wide frequency band 
  sensitivity, stability and biocompatibility 
  and perform proof-of-concept long-term wireless
  recording in a freely behaving rodent.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Graphene 
  - Bioelectronics
  - Wide-band
  

# 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 4.0 International License"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"


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

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