# 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: "Wendy A."
    lastname: "de Heer"
    affiliation: "University of California, Berkeley"
  -
    firstname: "Fatma"
    lastname: "Deniz"
    affiliation: "University of California, Berkeley"
  -
    firstname: "Xue L."
    lastname: "Gong"
    affiliation: "University of California, Berkeley"
    id: "ORCID:0000-0001-7656-525X"

# A title to describe the published resource.
title: "Nature Story Listening 3T fMRI Data"

# Additional information about the resource, e.g., a brief abstract.
description: |
  This dataset contains BOLD fMRI responses in human subjects listening to 
  a set of natural autobiographic stories. The functional data were collected for
  eleven subjects, in two sessions over two separate days for each subject. 
  Details of the experiment are described in the original publications.

# 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:
  - "Weil Foundation grant"
  - "Dingwall Foundation grant in Neurolinguistics"
  - "NSF grant, 1912373"

# 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:10.3389/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:10.1523/JNEUROSCI.3267-16.2017"
    reftype: "IsReferencedBy"
    citation: "de Heer, W. A., Huth, A. G., Griffiths, T. L., Gallant, J. L., & Theunissen, F. E.. The hierarchical cortical organization of human speech processing. Journal of Neuroscience, 37(27), 6539-6557 (2017)."
  -
    id: "doi:10.1523/JNEUROSCI.0675-19.2019"
    reftype: "IsReferencedBy"
    citation: "Deniz, F., Nunez-Elizalde, A. O., Huth, A. G., & Gallant, J. L.. The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality. Journal of Neuroscience, 39(39), 7722-7736 (2019)."
  -
    id: "doi:tba"
    reftype: "IsSupplementTo"
    citation: "Gong, X., Huth, A. G., Johnson, K., Gallant, J. L., & Theunissen, F. E.. Phonemic segmentation of narrative speech in human cerebral cortex. Nature Communications, (2023)"
  -
    id: "doi:10.5281/zenodo.7938599"
    reftype: "IsReferencedBy"
    citation: "Gong, X., Theunissen, F. E.. (2023) Phoneme Segmentation (Version 0.0.1) [Computer software]."

# 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