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The Filter Cart provides a powerful way to query and access data for which you may be interested.  

A few points related to the filter cart are important to understand with the NDA Query/Filter implementation: 

First, the filter cart is populated asyncronously.  So, when you run a query, it may take a moment to populate but this will happen in the background so you can define other queries during this time.  

When you are adding your first filter, all data associated with your query will be added to the filter cart (whether it be a collection, a concept, a study, a data structure/elment or subjects). Not all data structures or collections will necessarily be displayed.  For example, if you select the NDA imaging structure image03, and further restrict that query to scan_type fMRI, only fMRI images will appear and only the image03 structure will be shown.  To see other data structures, select "Find All Subject Data" which will query all data for those subjects. When a secord or third filter is applied, an AND condition is used.  A subject must exist in all filters.  If the subject does not appear in any one filter, that subjects data will not be included in your filter cart. If that happens, clear your filter cart, and start over.  

It is best to package more data than you need and access those data using other tools, independent of the NDA (e.g. miNDAR snapshot), to limit the data selected.  If you have any questions on data access, are interested in using avaialble web services, or need help accessing data, please contact us for assistance.  

Frequently Asked Questions

Glossary

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NDA provides a single access to de-identified autism research data. For permission to download data, you will need an NDA account with approved access to NDA or a connected repository (AGRE, IAN, or the ATP). For NDA access, you need to be a research investigator sponsored by an NIH recognized institution with federal wide assurance. See Request Access for more information.

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Data Structures with shared data
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Infant Controlled Auditory Visual Habituation and Recognition Memory

icav

01

Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*guid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectssidno00
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldvhdate03, vhdate06
interview_ageIntegerRequiredAge in months at the time of the interview/test/sampling/imaging.0 :: 1260Age is rounded to chronological month. If the research participant is 15-days-old at time of interview, the appropriate value would be 0 months. If the participant is 16-days-old, the value would be 1 month.vhage03, vhage06, vhage09, vhdate09
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender, ssgndr
vhsttime03String20RecommendedVisual task: Start time of experimentvhsttime06, vhsttime09
vhttc03IntegerRecommendedVisual task: Number of trials needed to habituate to the visual stimulus in the visual taskvhttc06, vhttc09
vhbsl03FloatRecommendedVisual task: Baseline (seconds) - mean looking time of the first two trialsvhbsl06, vhbsl09
vhflk03FloatRecommendedVisual task: Look length of first habituation trial (seconds)vhflk06, vhflk09
vhttl03FloatRecommendedVisual task: Total looking time of habituation (seconds)vhttl06, vhttl09
vhdec03FloatRecommendedVisual task: Percent of response decrementvhdec06, vhdec09
vhsrt03FloatRecommendedVisual task: Slope of total look timevhsrt06, vhsrt09
vhsbl03FloatRecommendedVisual task: Rate of habituation in real looking time (habituation slope; the best-fit linear regression function)vhsbl06, vhsbl09
vhnov03FloatRecommendedVisual task: Percent novelty preferencevhnov06, vhnov09
vhprt03FloatRecommendedVisual task: Pre-test total looking time (seconds)vhprt06, vhprt09
vhpot03FloatRecommendedVisual task: Post-test total looking time (seconds)vhpot06, vhpot09
vhfpb03FloatRecommendedVisual task: Percent baseline of the final trialvhfpb06, vhfpb09
vhendtime03String20RecommendedVisual task: end time of experimentvhendtime06, vhendtime09
avhsttime03String20RecommendedAuditory visual task: Start time of experimentavhsttime06, avhsttime09
avhttc03IntegerRecommendedAuditory visual task: Number of trials needed to habituate to the visual stimulus in the auditory/visual taskavhttc06, avhttc09
avhbsl03FloatRecommendedAuditory visual task: Baseline (seconds) - the mean looking time of the first two trialsavhbsl06, avhbsl09
avhflk03FloatRecommendedAuditory visual task: First look length (seconds)avhflk06, avhflk09
avhttl03FloatRecommendedAuditory visual task: Look length of first habituation trial (seconds)avhttl06, avhttl09
avhdec03FloatRecommendedAuditory visual task: Percent of response decrementavhdec06, avhdec09
avhsrt03FloatRecommendedAuditory visual task: Slope of total look timeavhsrt06, avhsrt09
avhsbl03FloatRecommendedAuditory visual task: Rate of habituation in real looking time (habituation slope; the best-fit linear regression function)avhsbl06, avhsbl09
avhnov03FloatRecommendedAuditory visual task: Percent novelty preferenceavhnov06, avhnov09
avhprt03FloatRecommendedAuditory visual task: Pre-test total looking time (seconds)avhprt06, avhprt09
avhpot03FloatRecommendedAuditory visual task: Post-test total looking time (seconds)avhpot06, avhpot09
avhfla03FloatRecommendedAuditory visual task: Latency to the left, of the last habituation trial (seconds)avhfla06, avhfla09
avhffg03FloatRecommendedAuditory visual task: Latency to the right, of the last habituation trial (seconds)avhffg06, avhffg09
avhftl03FloatRecommendedAuditory visual task: Total looking time of the last habituation trial (seconds)avhftl06, avhftl09
avhfpb03FloatRecommendedAuditory visual task: Percent baseline of the final trialavhfpb06, avhfpb09
avhala03FloatRecommendedAuditory visual task: Left looking time of first test trial (novel stimulus)avhala06, avhala09
avhafg03FloatRecommendedAuditory visual task: Right looking time of first test trial (novel stimulus)avhafg06, avhafg09
avhatl03FloatRecommendedAuditory visual task: Total looking time of first test trialavhatl06, avhatl09
avhbla03FloatRecommendedAuditory visual task: Left looking time of second test trial (familiar stimulus)avhbla06, avhbla09
avhbfg03FloatRecommendedAuditory visual task: Right looking time of second test trial (familiar stimulus)avhbfg06, avhbfg09
avhbtl03FloatRecommendedAuditory visual task: Total looking time of second test trialavhbtl06, avhbtl09
avhnnv03FloatRecommendedAuditory visual task: % novelty trials 1 and 2avhnnv06, avhnnv09
avhnvh03FloatRecommendedAuditory visual task: Measure of Habituation Strengthavhnvh06, avhnvh09
avhendtime03String20RecommendedAuditory visual task: End time of experiment (EST/EDT)avhendtime06, avhendtime09
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form datavh_avhnotes03, vh_avhnotes06, vh_avhnotes09
Data Structure

This page displays the data structure defined for the measure identified in the title and structure short name. The table below displays a list of data elements in this structure (also called variables) and the following information:

  • Element Name: This is the standard element name
  • Data Type: Which type of data this element is, e.g. String, Float, File location.
  • Size: If applicable, the character limit of this element
  • Required: This column displays whether the element is Required for valid submissions, Recommended for valid submissions, Conditional on other elements, or Optional
  • Description: A basic description
  • Value Range: Which values can appear validly in this element (case sensitive for strings)
  • Notes: Expanded description or notes on coding of values
  • Aliases: A list of currently supported Aliases (alternate element names)
  • For valid elements with shared data, on the far left is a Filter button you can use to view a summary of shared data for that element and apply a query filter to your Cart based on selected value ranges

At the top of this page you can also:

  • Use the search bar to filter the elements displayed. This will not filter on the Size of Required columns
  • Download a copy of this definition in CSV format
  • Download a blank CSV submission template prepopulated with the correct structure header rows ready to fill with subject records and upload

Please email the The NDA Help Desk with any questions.

Distribution for DataStructure: icav01 and Element:
Chart Help

Filters enable researchers to view the data shared in NDA before applying for access or for selecting specific data for download or NDA Study assignment. For those with access to NDA shared data, you may select specific values to be included by selecting an individual bar chart item or by selecting a range of values (e.g. interview_age) using the "Add Range" button. Note that not all elements have appropriately distinct values like comments and subjectkey and are not available for filtering. Additionally, item level detail is not always provided by the research community as indicated by the number of null values given.

Filters for multiple data elements within a structure are supported. Selections across multiple data structures will be supported in a future version of NDA.