Determine appropriate datasets/contrasts for analysis

[tsalo]

I assume we will want to analyze the same contrast across as many Neuroscout datasets as possible, so the key question is which features we want to use. Here's are a few that look like reasonable targets:

• face_detectionConfidence (GoogleVisionAPIFaceExtractor)
• shot_change (GoogleVideoAPIShotDetectionExtractor)
• people (ClarifaiAPIImageExtractor)
• face (ClarifaiAPIImageExtractor)
• as-Speech (AudiosetLabelExtractor)
• button_press (events)

[tsalo]

Here are the available datasets + tasks:

dataset	task	n_subjects
Budapest	movie	25
HealthyBrainNetwork	movieDM	142
SchematicNarrative	perception	31
studyforrest	movie	13
Raiders	raiders	11
Life	life	19
ParanoiaStory	story	22
Sherlock	sherlockPart1	16
SherlockMerlin	MerlinMovie	18
SherlockMerlin	SherlockMovie	18
LearningTemporalStructure	movie	30
ReadingBrainProject	read	52
NaturalisticNeuroimagingDatabase	12yearsaslave	6
NaturalisticNeuroimagingDatabase	500daysofsummer	20
NaturalisticNeuroimagingDatabase	backtothefuture	6
NaturalisticNeuroimagingDatabase	citizenfour	18
NaturalisticNeuroimagingDatabase	littlemisssunshine	6
NaturalisticNeuroimagingDatabase	pulpfiction	6
NaturalisticNeuroimagingDatabase	split	6
NaturalisticNeuroimagingDatabase	theprestige	6
NaturalisticNeuroimagingDatabase	theshawshankredemption	6
NaturalisticNeuroimagingDatabase	theusualsuspects	6

[tsalo]

Actual data access will become possible with https://github.com/neuroscout/neuroscout/issues/954.