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Frequently Asked Questions


NDA Help Center

Filter Cart

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



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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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Ecological Momentary Assessment Data



Download Definition as
Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/project
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired field
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.
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender
timeptIntegerRecommendedTime Point888 = not applicable; 999 = missingtimestamp
proceduretrialString20Recommendedtrial typedatatype
hourIntegerRecommendedHour of the day of the sample0 :: 24Range begins at 0 = Midnight
x_aclFloatRecommendedChange in acceleration in the X axis in m/s^2x
y_aclFloatRecommendedChange in acceleration in the Y axis in m/s^2y
z_aclFloatRecommendedChange in acceleration in the Z axis in m/s^2z
aclavgFloatRecommendedRoot mean square acceleration across al three axes in m/s^2 using: sqrt(X^2+Y^2+Z^2)
gpseventString20RecommendedDescription of reason for GPS sampleActivating = Phone turned on location services; App-Pausing = App switched to background; App-Resuming = App switched to foreground; Deactivating = Phone turned off location services; Disabling-Services = Location services turned off; Disabling-Timer = Location services turned off from timer; Enabling-Services = Location services turned on from timer; gps-Disabled = Location services turned off; Location-Changed = GPS coordinates changed since last recording; network-Disabled = Network location services turned off; Status-Changed = Satellite connection lostevent
enabledString5RecommendedLocation tracking turned onTRUE = Location services on; FALSE = Location services off
gpsevent_typeString20RecommendedType of location services availablenetwork-and-gps = Network and GPS sattelites; network-only = Network; no-location-services = No location servicesevent_type
gpssourceString7RecommendedSource of GPS locationgps = GPS system; network = cellular or wifi signalsource
gpsaccuracyFloatRecommendedAccuracy of GPS coordinates in metersaccuracy
gpslatitudeIntegerRecommendedGPS location in degreeslatitude
gpslongitudeIntegerRecommendedGPS location in degreeslongitude
seconds_onIntegerRecommendedFor periodic tracking, current ON duration
seconds_offIntegerRecommendedFor periodic tracking, current OFF duration
time_intervalIntegerRecommendedSeconds, minimum time interval between updates
distanceFloatRecommendedMeters, minimum distance between updates
geofence_countIntegerRecommendedNumber of active geofences
recordedIntegerRecommendedtime of recordingHH:MM
satellite_countIntegerRecommendedNumber of satelites used in recording
distance_changeFloatRecommendedChange in distance in meters from previous recording
gpshomeIntegerRecommendedIf GPS sample is within half a km of participant home0;10 = Not at home; 1 = Homehome
latitude_maskedFloatRecommendedGPS location in degrees, masked with participant home equal to 0
longitude_maskedFloatRecommendedGPS location in degrees, masked with participant home equal to 0
meters_from_homeFloatRecommendedMeters from home GPS location
smp_cntFloatRecommendedNumber of audio samples recorded at 16KHZ
max_ampFloatRecommendedMaximum amplitude of audio during sample period
min_ampFloatRecommendedMinimum amplitude of audio during sample period
max_amp_absFloatRecommendedMaximum amplitude of audio during sample period using absolute value
min_amp_absFloatRecommendedMinimum amplitude of audio during sample period using absolute value
mean_ampFloatRecommendedMean of audio during sample period
mean_amp_absFloatRecommendedMean of audio during sample period using absolute value
median_ampFloatRecommendedMedian amplitude
rmsFloatRecommendedRoot mean sum of amplitude
variFloatRecommendedVariance of amplitude in sample
sqr_variFloatRecommendedRoot square of variancestd_dev
vox_actFloatRecommendedNumber of frames in audio sample in which voice activity is detected
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: ilumpass01 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.