Cadena_PlosCB19_data/datacite.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "Santiago"
    lastname: "Cadena"
    affiliation: "University of Tuebingen"
    id: "https://orcid.org/0000-0002-7508-4443"   
  -
    firstname: "George"
    lastname: "Denfield"
    affiliation: "Baylor College of Medicine"
  -
    firstname: "Edgar"
    lastname: "Walker"
    affiliation: "Baylor College of Medicine"
  -
    firstname: "Leon"
    lastname: "Gatys"
    affiliation: "University of Tuebingen"
  -
    firstname: "Andreas"
    lastname: "Tolias"
    affiliation: "Baylor College of Medicine"
    id: "https://orcid.org/0000-0002-7508-4443"   
  -
    firstname: "Matthias"
    lastname: "Bethge"
    affiliation: "University of Tuebingen" 
  -
    firstname: "Alexander"
    lastname: "Ecker"
    affiliation: "University of Tuebingen"

# A name or title to describe the published resource.
title: "Data for Cadena et al. 2019 Plos Computational Biology"

# Any additional information. It is best practice to supply a description for the resource.
description: |
  Macaque V1 single neural responses to naturalistic images recorded with silicon laminar probes.

# List of keywords the resource should be associated with.
keywords:
  - Neuroscience
  - Electrophysiology
  - Awake macaques
  - Primary visual cortex
  - Natural stimulation

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a LICENSE file to the repository
license:
  name: "Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License."
  url: "https://creativecommons.org/licenses/by-nc-nd/4.0/"

## Optional Fields

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "DFG, EC 479/1-1"
  - "SFB 1233, Robust Vision"
  - "FKZ, 01GQ1002"
  - "EXC307"
  - "R01EY026927"
  - "DP1-EY023176"
  - "DP1-OD008301"
  - "EY-002520-37"
  - "NEI T32EY00700140"
  - "NEI F30EY025510"
  - "DoI D16PC00003"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:
  -
    reftype: "IsPartOf"
    name: "Deep convolutional models improve predictions of macaque V1 responses to natural images"

# Type of the data in this repository (Dataset, Model, Software, Other see
# https://schema.datacite.org/meta/kernel-4.1/doc/DataCite-MetadataKernel_v4.1.pdf
# for examples
dtype: Dataset