# 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" - 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