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# An Extension of studyforrest.org Dataset
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[](https://datalad.org)
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[](http://opendatacommons.org/licenses/pddl/summary)
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[]()
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[](https://zenodo.org/badge/latestdoi/14167/psychoinformatics-de/studyforrest-data-multires7t)
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## Multi-resolution 7T fMRI data on the representation of visual orientation
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This dataset consists of empirical ultra high-field fMRI data recorded at four
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spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for
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orientation decoding in visual cortex — in order to test hypotheses on the
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strength and spatial scale of orientation discriminating signals. This is an
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extension of the studyforrest project. All seven participants previously
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volunteered for the audio-only and the audio-visual Forrest Gump study. The
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dataset is compliant with the BIDS data description standard
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(http://bids.neuroimaging.io). A detailed description can be found in:
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Sengupta, A., Yakupov, R., Speck, O., Pollmann, S., Hanke, M. *Ultra
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High-Field (7 Tesla) multi-resolution fMRI data on the representation
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of visual orientation*. Data in Brief (submitted)
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For more information about the project visit: http://studyforrest.org
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## How to obtain the data files
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This repository is a [DataLad](https://www.datalad.org/) dataset. It provides
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fine-grained data access down to the level of individual files, and allows for
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tracking future updates. In order to use this repository for data retrieval,
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[DataLad](https://www.datalad.org/) is required. It is a free and
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open source command line tool, available for all major operating
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systems, and builds up on Git and [git-annex](https://git-annex.branchable.com/)
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to allow sharing, synchronizing, and version controlling collections of
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large files. You can find information on how to install DataLad at
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[handbook.datalad.org/en/latest/intro/installation.html](http://handbook.datalad.org/en/latest/intro/installation.html).
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### Get the dataset
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A DataLad dataset can be `cloned` by running
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```
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datalad clone <url>
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```
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Once a dataset is cloned, it is a light-weight directory on your local machine.
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At this point, it contains only small metadata and information on the
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identity of the files in the dataset, but not actual *content* of the
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(sometimes large) data files.
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### Retrieve dataset content
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After cloning a dataset, you can retrieve file contents by running
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```
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datalad get <path/to/directory/or/file>
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```
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This command will trigger a download of the files, directories, or
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subdatasets you have specified.
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DataLad datasets can contain other datasets, so called *subdatasets*.
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If you clone the top-level dataset, subdatasets do not yet contain
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metadata and information on the identity of files, but appear to be
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empty directories. In order to retrieve file availability metadata in
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subdatasets, run
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```
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datalad get -n <path/to/subdataset>
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```
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Afterwards, you can browse the retrieved metadata to find out about
|
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subdataset contents, and retrieve individual files with `datalad get`.
|
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If you use `datalad get <path/to/subdataset>`, all contents of the
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subdataset will be downloaded at once.
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### Stay up-to-date
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DataLad datasets can be updated. The command `datalad update` will
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*fetch* updates and store them on a different branch (by default
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`remotes/origin/master`). Running
|
||||
|
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```
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datalad update --merge
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```
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will *pull* available updates and integrate them in one go.
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### More information
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More information on DataLad and how to use it can be found in the DataLad Handbook at
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[handbook.datalad.org](http://handbook.datalad.org/en/latest/index.html). The chapter
|
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"DataLad datasets" can help you to familiarize yourself with the concept of a dataset.
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110
README.rst
110
README.rst
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@ -1,110 +0,0 @@
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An Extension of studyforrest.org Dataset
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****************************************
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|license| |access| |doi|
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Multi-resolution 7T fMRI data on the representation of visual orientation
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=========================================================================
|
||||
|
||||
This dataset consists of empirical ultra high-field fMRI data recorded at four
|
||||
spatial resolutions (0.8 mm, 1.4 mm, 2 mm, and 3 mm isotropic voxel size) for
|
||||
orientation decoding in visual cortex — in order to test hypotheses on the
|
||||
strength and spatial scale of orientation discriminating signals. This is an
|
||||
extension of the studyforrest project. All seven participants previously
|
||||
volunteered for the audio-only and the audio-visual Forrest Gump study. The
|
||||
dataset is compliant with the BIDS data description standard
|
||||
(http://bids.neuroimaging.io). A detailed description can be found in:
|
||||
|
||||
Sengupta, A., Yakupov, R., Speck, O., Pollmann, S., Hanke, M. *Ultra
|
||||
High-Field (7 Tesla) multi-resolution fMRI data on the representation
|
||||
of visual orientation*. Data in Brief (submitted)
|
||||
|
||||
For more information about the project visit: http://studyforrest.org
|
||||
|
||||
|
||||
How to obtain the data files
|
||||
----------------------------
|
||||
|
||||
|
||||
This repository is a `DataLad <https://www.datalad.org/>`__ dataset. It provides
|
||||
fine-grained data access down to the level of individual files, and allows for
|
||||
tracking future updates up to the level of single files. In order to use
|
||||
this repository for data retrieval, `DataLad <https://www.datalad.org>`_ is
|
||||
required. It is a free and open source command line tool, available for all
|
||||
major operating systems, and builds up on Git and `git-annex
|
||||
<https://git-annex.branchable.com>`__ to allow sharing, synchronizing, and
|
||||
version controlling collections of large files. You can find information on
|
||||
how to install DataLad at `handbook.datalad.org/en/latest/intro/installation.html
|
||||
<http://handbook.datalad.org/en/latest/intro/installation.html>`_.
|
||||
|
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Get the dataset
|
||||
^^^^^^^^^^^^^^^
|
||||
|
||||
A DataLad dataset can be ``cloned`` by running::
|
||||
|
||||
datalad clone <url>
|
||||
|
||||
Once a dataset is cloned, it is a light-weight directory on your local machine.
|
||||
At this point, it contains only small metadata and information on the
|
||||
identity of the files in the dataset, but not actual *content* of the
|
||||
(sometimes large) data files.
|
||||
|
||||
Retrieve dataset content
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
After cloning a dataset, you can retrieve file contents by running::
|
||||
|
||||
datalad get <path/to/directory/or/file>
|
||||
|
||||
This command will trigger a download of the files, directories, or
|
||||
subdatasets you have specified.
|
||||
|
||||
DataLad datasets can contain other datasets, so called *subdatasets*. If you
|
||||
clone the top-level dataset, subdatasets do not yet contain metadata and
|
||||
information on the identity of files, but appear to be empty directories. In
|
||||
order to retrieve file availability metadata in subdatasets, run::
|
||||
|
||||
datalad get -n <path/to/subdataset>
|
||||
|
||||
Afterwards, you can browse the retrieved metadata to find out about
|
||||
subdataset contents, and retrieve individual files with ``datalad get``. If you
|
||||
use ``datalad get <path/to/subdataset>``, all contents of the subdataset will
|
||||
be downloaded at once.
|
||||
|
||||
Stay up-to-date
|
||||
^^^^^^^^^^^^^^^
|
||||
|
||||
DataLad datasets can be updated. The command ``datalad update`` will *fetch*
|
||||
updates and store them on a different branch (by default
|
||||
``remotes/origin/master``). Running::
|
||||
|
||||
datalad update --merge
|
||||
|
||||
will *pull* available updates and integrate them in one go.
|
||||
|
||||
More information
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
More information on DataLad and how to use it can be found in the DataLad Handbook at
|
||||
`handbook.datalad.org <http://handbook.datalad.org/en/latest/index.html>`_. The
|
||||
chapter "DataLad datasets" can help you to familiarize yourself with the
|
||||
concept of a dataset.
|
||||
|
||||
|
||||
.. _Git: http://www.git-scm.com
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|
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.. _git-annex: http://git-annex.branchable.com/
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|
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.. |license|
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image:: https://img.shields.io/badge/license-PDDL-blue.svg
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:target: http://opendatacommons.org/licenses/pddl/summary
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:alt: PDDL-licensed
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.. |access|
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image:: https://img.shields.io/badge/data_access-unrestricted-green.svg
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:alt: No registration or authentication required
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.. |doi|
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image:: https://zenodo.org/badge/14167/psychoinformatics-de/studyforrest-data-multires7t.svg
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:target: https://zenodo.org/badge/latestdoi/14167/psychoinformatics-de/studyforrest-data-multires7t
|
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:alt: DOI
|
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