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WIP: adds superdataset metadata in studyminimeta.yaml #61

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155 changes: 155 additions & 0 deletions .studyminimeta.yaml
Original file line number Diff line number Diff line change
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#<!-- METADATA START --> # DO NOT DELETE THIS LINE
# All example text is surrounded with <ex> and </ex>. Please replace the example
# text including the <ex> and </ex> with your data. Delete all non-applicable
# lines and sections.

# Attention: indentation is important and must be preserved!

# information on the study the to-be-archived dataset was created for

# mandatory information on to-be-archived dataset
dataset:
# short name or label
name: StudyForrest

# current location of the dataset
location: https://github.com/psychoinformatics-de/studyforrest-data

# summary of purpose and content of the dataset
description:
"The StudyForrest project centers around the use of the movie Forrest Gump, which provides complex sensory input
that is both reproducible and is also richly laden with real-life-like content and contexts. Since its initial release,
the StudyForrest dataset has grown and been extended substantially, and now encompasses many hours of fMRI scans,
structural brain scans, eye-tracking data, and extensive annotations of the movie.
It is a one-of-a-kind resource for studying high-level cognition in the human brain under complex,
natural stimulation. The versatility of the provided data (some individuals have nearly ten hours of fMRI data)
enables studies far beyond this main focus. This covers a vast range from studies of low-level signal properties
and brain structure, to sensory integration and attentional processes, to computational modeling of representational
spaces and brain area interactions."

# optional list of employed standard and format
# for automatic generation of rich metadata records
# (see handbook for full list)

# optional list of keyword/phrase
keyword:
- human
- fMRI
- task
- 7T
- 3T
- audio
- visual
- music
- retinotopy
- angiography
- T1,T2

# minimum of one dataset author required
author:
- [email protected]

# optional list of entities that funded the creation of
# the dataset. This might also be a single value, i.e.:
#`` funding: NIH´´.
funding:
- BMBF, 01GQ1411
- NSF, 1429999


# one or more publications on or using the dataset, optional
publication:
- title: "The effect of acquisition resolution on orientation decoding from V1: comparison of 3T and 7T"
author:
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
# when published
year: 2018
# all other properties are optional
# highly recommended to provide a DOI
doi: https://doi.org/10.1101/305417
# journal name or publication venue label
publication: bioRxiv

- title: "Spatial band-pass filtering aids decoding musical genres from auditory cortex 7T fMRI"
author:
- [email protected]
- [email protected]
- [email protected]
# when published
year: 2018
# all other properties are optional
# highly recommended to provide a DOI
doi: https://doi.org/10.12688/f1000research.13689.2
# journal name or publication venue label
publication: F1000Research

- title: "The effect of acquisition resolution on orientation decoding from V1 BOLD fMRI at 7 Tesla"
author:
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
# when published
year: 2017
# all other properties are optional
# highly recommended to provide a DOI
doi: https://doi.org/10.1016/j.neuroimage.2016.12.040
# journal name or publication venue label
publication: NeuroImage

- title: "Ultra high-field multi-resolution fMRI data for orientation decoding in visual cortex"
author:
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
- [email protected]
# when published
year: 2017
# all other properties are optional
# highly recommended to provide a DOI
doi: https://doi.org/10.1016/j.dib.2017.05.014
# journal name or publication venue label
publication: Data in Brief

# person information, one record for every email-key used above
person:
[email protected]:

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Since it would be a great example to follow, I decided to ask a clarification question: why did you side for the meaningless a, b, c, d which might generally result in a confusion and misattribution (mixing up one person ID over another) in favor over some

  • clearly not a valid email
  • including the actual name
Suggested change
[email protected]:
person-ayan-sengupta:

or even just

Suggested change
[email protected]:
ayan-sengupta:

or alike?

given_name: Ayan
last_name: Sengupta

[email protected]:
given_name: Oliver
last_name: Speck

[email protected]:
given_name: Renat
last_name: Yakupov

[email protected]:
given_name: Martin
last_name: Kanowski

[email protected]:
given_name: Claus
last_name: Tempelmann

[email protected]:
given_name: Stefan
last_name: Pollmann

[email protected]:
given_name: Michael
last_name: Hanke
orcid-id: 0000-0001-6398-6370

#<!-- METADATA END --> # DO NOT DELETE THIS LINE