12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182838485868788899091929394 |
- # 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
|