README.md

@@ -1,4 +1,4 @@
-# Annotations of low-level perceptual confounds in the research cut of the audio-visual movie "Forrest Gump" and it's audio-description
+# Annotations of low-level perceptual confounds in the research cut of the audio-visual movie "Forrest Gump" and its audio-description
 
 [![made-with-datalad](https://www.datalad.org/badges/made_with.svg)](https://datalad.org)
 [![PDDL-licensed](https://img.shields.io/badge/license-PDDL-blue.svg)](http://opendatacommons.org/licenses/pddl/summary)
@@ -13,7 +13,7 @@ For further information about the project visit: http://studyforrest.org
 
   Frame-wise (40 milliseconds) annotations of auditory and visual low-level confounds for each stimulus segment of the audio-description
   and audio-visual movie (audio-description: e.g. `fg_ad_seg0_rms.tsv`; movie: e.g. `fg_av_ger_seg0_rms.tsv`).
-  One file of tap-separated values for every confound (providing onset, duration, and value of confound):
+  One file of tab-separated values for every confound (providing onset, duration, and value of confound):
     * `audio/*_rms.tsv`: root-mean square power (a.k.a. volume)
     * `audio/*_lrdiff.tsv`: left-right volume difference
     * `visual/*_brmean.tsv`: mean brightness of a movie frame
@@ -21,7 +21,7 @@ For further information about the project visit: http://studyforrest.org
     * `visual/*_brud.tsv`: difference in brightness upper half minus lower half of each movie frame (a.k.a. "bring me that horizon")
     * `visual/*_phash.tsv.`: perceptual hash of each movie frame (computed by the phash function of [imagehash v4.1.0](https://pypi.org/project/ImageHash/))
     * `visual/*_normdiff.tsv`: normalized perceptual difference of each movie frame in respect to its previous movie frame
-  
+
 
 - ``code/``
 
@@ -29,7 +29,7 @@ For further information about the project visit: http://studyforrest.org
 
 - ``inputs/``
 
-  The segmented stimulus media files (Matroska Multimedia Container) of audio-description and audio-visual movie as used during fMRI scanning. Not publicly accessible.
+  The segmented stimulus media files (Matroska Multimedia Container) of the audio-description and audio-visual movie as used during fMRI scanning. Not publicly accessible.
 
 ## How to obtain the data files
 
@@ -37,8 +37,8 @@ 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. 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/)
+open source command line tool available for all major operating
+systems, and builds upon 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/intro/installation.html](http://handbook.datalad.org/intro/installation.html).
@@ -53,7 +53,7 @@ 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
+identity of the files in the dataset, but not the actual *content* of the
 (sometimes large) data files.
 
 ### Retrieve dataset content
@@ -67,7 +67,7 @@ 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*.
+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