cmo_test_repo/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: Ayan
    lastname: Sengupta

  - firstname: Oliver
    lastname: Speck

  - firstname: Renat
    lastname: Yakupov

  - firstname: Martin
    lastname: Kanowski

  - firstname: Claus
    lastname: Tempelmann

  - firstname: Stefan
    lastname: Pollmann

  - firstname: Michael
    lastname: Hanke


# A title to describe the published resource.
title: studyforrest_multires3t

# Additional information about the resource, e.g., a brief abstract.
description: |
    "Extension of a matching fMRI dataset (Sengupta, et al., 2017; OpenFMRI ds000113c) on participants performing a
     central fixation task while being stimulated with oriented visual gratings. This dataset extends the previous one
     with acquisitions for 3 matching spatial resolutions (1.4, 2.0, and 3.0 mm) at 3T (complementing the previous 7T
     acquisitions at 0.8, 1.4, 2.0, and 3.0 mm). Five of the total of seven participants are identical in both datasets.
     All participants are part of the studyforrest.org project.

    - This research was enabled by a grant from the German Research Foundation (DFG) awarded to S. Pollmann and
      O. Speck (DFG PO 548/15-1).

    - This research was, in part, also supported by the German Federal Ministry of Education and Research (BMBF) as
      part of a US-German collaboration in computational neuroscience (CRCNS), co-funded by the BMBF and the US
      National Science Foundation (BMBF 01GQ1112; NSF 1129855).

    - Data management technology (DataLad) employed for this research was supported by US-German CRCNS project,
      co-funded by the BMBF and the US National Science Foundation (BMBF 01GQ1411; NSF 1429999)."

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroscience
  - Studyforrest
  - BIDS

# 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: "Open Data Commons Public Domain Dedication and License (PDDL)"
  url: "https://opendatacommons.org/licenses/pddl/"


## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
funding:
  - "DFG, PO 548/15-1"
  - "BMBF, 01GQ1112"
  - "NSF, 1129855"
  - "BMBF, 01GQ1411"
  - "NSF, 1429999"


# 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:10.1101/305417"
    reftype: "IsSupplementTo"
    citation: "Sengupta, A., Speck, O., Yakupov, R., Kanowski, M., Tempelmann, C., Pollmann, S. & Hanke, M. (2018) The effect of acquisition resolution on orientation decoding from V1: comparison of 3T and 7T. bioRxiv.",

  - id: "doi:10.12688/f1000research.13689.2"
    reftype: "IsSupplementTo"
    citation: "Sengupta, A., Pollmann, S. & Hanke, M. (2018). Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI. F1000Research, 7."

  - id: "doi:10.1016/j.neuroimage.2016.12.040"
    reftype: "IsSupplementTo"
    citation: "Sengupta, A., Yakupov, R., Speck, O., Pollmann, S. & Hanke, M. (2017) The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 Tesla. NeuroImage, 148, 64-76.",

  - id: "doi:10.1016/j.dib.2017.05.014"
    reftype: "IsSupplementTo"
    citation: "Sengupta, A., Yakupov, R., Speck, O., Pollmann, S. & Hanke, M. (2017) Ultra high-field multi-resolution fMRI data for orientation decoding in visual cortex. Data in Brief, 13, 219-222."


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

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