shortclips/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: "Alexander G."
    lastname: "Huth"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0002-7590-3525"
  -
    firstname: "Shinji"
    lastname: "Nishimoto"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0001-8015-340X"
  -
    firstname: "An T."
    lastname: "Vu"
    affiliation: "University of California, Berkeley" 
  -
    firstname: "Tom"
    lastname: "Dupre la Tour"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0002-2674-1670"
  -
    firstname: "Jack L."
    lastname: "Gallant"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0001-7273-1054"

# A title to describe the published resource.
title: "Gallant Lab Natural Short Clips 3T fMRI Data"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This data set contains BOLD fMRI responses in human subjects viewing
  a set of natural short clips. The functional data were collected for
  five subjects, in three sessions over three separate days for each subject.
  Details of the experiment are described in the original publication.

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - fMRI
  - Naturalistic stimuli
  - Voxelwise encoding models

# 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 CC0 1.0 Public Domain Dedication"
  url: "https://creativecommons.org/publicdomain/zero/1.0/"



## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "NEI, EY019684"
  - "CSoI, CCF-0939370"


# 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:10.1016/j.cub.2011.08.031"
    reftype: "IsDescribedBy"
    citation: "Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2011). Reconstructing visual experiences from brain activity evoked by natural movies. Current biology, 21(19), 1641-1646."
  -
    id: "doi:10.1016/j.neuron.2012.10.014"
    reftype: "IsDescribedBy"
    citation: "Huth, A. G., Nishimoto, S., Vu, A. T., & Gallant, J. L. (2012). A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron, 76(6), 1210-1224."
  -
    id: "doi:10.3389/fnsys.2016.00081"
    reftype: "IsReferencedBy"
    citation: "Huth, A. G., Lee, T., Nishimoto, S., Bilenko, N. Y., Vu, A. T., & Gallant, J. L. (2016). Decoding the semantic content of natural movies from human brain activity. Frontiers in systems neuroscience, 10, 81."
  -  
    id: "doi:10.1038/s41593-021-00921-6"
    reftype: "IsReferencedBy"
    citation: "Popham, S. F., Huth, A. G., Bilenko, N. Y., Deniz, F., Gao, J. S., Nunez-Elizalde, A. O., & Gallant, J. L. (2021). Visual and linguistic semantic representations are aligned at the border of human visual cortex. Nature Neuroscience, 24(11), 1628-1636."



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

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