# 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: 'Norma Krystyna'
    lastname: Kühn
    affiliation: 'Neuro-Electronics Research Flanders, Leuven, Belgium'
  -
    firstname: Tim
    lastname: Gollisch
    affiliation: 'University Medical Center Göttingen, Germany'
    id: 'https://orcid.org/0000-0003-3998-533X'

# A name or title to describe the published resource.
title: Kuehn_and_Gollisch_RGC_spiketrains_for_moving_texture

# Any additional information. It is best practice to supply a description for the resource.
description: |
  Data accompanying the manuscript by Kühn and Gollisch:
  "Activity correlations between direction-selective retinal ganglion cells
  synergistically enhance motion decoding from complex visual scenes"

# List of keywords the resource should be associated with.
keywords:
  - Neuroscience
  - Electrophysiology
  - Retina
  - Multielectrode Arrays

# 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-ShareAlike 4.0 International'
  url: 'https://creativecommons.org/licenses/by-sa/4.0/'

## Optional Fields

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - 'University Göttingen, Dorothea Schlözer Programme'
  - 'EU, FP7-ICT-2011.9.11 - 600954'
  - 'DFG, CRC889.C1'
  - 'EU, ERC.724822'

# 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: "IsSupplementTo"
    name: "Kühn and Gollisch: Activity correlations between direction-selective retinal ganglion cells synergistically enhance motion decoding from complex visual scenes"

# 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