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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.


  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 


Reset Password

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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EEG Task Questionnaire

2,028 Shared Subjects

Clinical Assessments
Task Based
View Change History
Query Element Name Data Type Size Required Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR*
src_subject_id String 20 Required Subject ID how it's defined in lab/project subject_id
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field date_ctq, date_nl, v2_ctq_date
interview_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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. v2_ctq_age
sex String 20 Required Sex of the subject M;F; O; NR M = Male; F = Female; O=Other; NR = Not reported gender
Query eng_first Integer Recommended Is English your first language? 0;1 0 = No; 1 = Yes eeg_s_01
Query eeg_s_01_a Float Recommended Checks how many years speaking English
Query cfmh_chd_hearingimp Integer Recommended Does the patient have a hearing impairment? 1;0 0 = No; 1 = Yes eeg_s_02
hear_prob_spfy String 255 Recommended Notes about hearing eeg_s_02_a
Query eeg_s_02_b String 250 Recommended Did you receive a diagnosis or treatment of your hearing problem?
Query eeg_s_03 Float Recommended In the past 24 hours, how many drinks containing caffeine (i.e. coffee, tea, soda, energy drink, etc.) did you have? nl_cafdrinks
Query eeg_s_04 Float Recommended In the past 24 hours, how many times did you use cigarettes, tobacco or nicotine? nl_tob
Query eeg_s_05 Float Recommended In the past 24 hours, how many drinks containing alcohol (i.e. beer, wine, mixed drinks) did you have? nl_drinks
Query eeg_s_06 Integer Recommended In the last 24 hours, how many times have you taken any drugs to get high, feel better, or to change your mood?
Query rwd_ts01 Integer Recommended How well do you think you did on the task? 1::5 1=Very well; 2=Okay; 3=Average; 4=Poor; 5=Very poor
Query rwd_ts02 Integer Recommended How difficult was the task? 1::5 1=Very difficult; 2=Moderately difficult; 3=Neutral; 4=Moderately easy; 5=Very easy
Query rwd_ts03 Integer Recommended How stressful was the task? 1::5 1=Very stressful; 2=Moderately stressful; 3=Neutral; 4=Moderately unstressful; 5=Not at all stressful
Query rwd_ts04 Integer Recommended Did you feel that one of the mouths was easier to detect during the task? 0;1 0=No; 1=Yes
Query rwd_ts05 Integer Recommended Which mouth? 0;1 0=Short; 1=Long
Query rwd_ts06 Integer Recommended Did you like or prefer one mouth more than the other? 0;1 0=No; 1=Yes
Query rwd_ts07 Integer Recommended Which mouth? 1;2 2=Short; 1=Long
subject_description String 4,000 Recommended Subject related information (e.g the affection, phenotype, disease information, etc.).
Query site String 101 Recommended Site Study Site
Query study String 100 Recommended Study
Query week Float Recommended Week in level/study 99=week 10-week 14
Query sm_3b6 Integer Recommended Tried non-cigarette tobacco or nicotine product - nicotine patch? 1;0 1=Yes; 0=No nl_nicpat
Query nl_lastcaf Float Recommended Last time had drinks containing caffeine (i.e. coffee, tea, soda, energy drink, etc.) did you have? In hours, before testing
Query nl_lasttob Float Recommended Last time did you use cigarettes, tobacco or nicotine? In hours, before testing
Query nl_lastalc Float Recommended Last time had drinks containing alcohol (i.e. beer, wine, mixed drinks) did you have? In hours, before testing
Query nl_tobpro Integer Recommended Have you used any tobacco products (cigarettes, pipe, chewing tobacco, etc.) in the past 24 hours? 0;1 1 = Yes; 0 = No
Query nl_cafbev Integer Recommended Have you had any caffeinated beverages in the past 24 hours? 0;1 1 = Yes; 0 = No
Query nl_alc Integer Recommended Have you had any alcoholic beverages in the past 24 hours? 0;1 1 = Yes; 0 = No
Query peq_1 Integer Recommended Were you uncomfortable with the cap on?
1; 0; 888; 999
1 = yes; 0= no; 888= N/A; 999= missing data
Query peq_2 Integer Recommended Did you feel anxious before the EEG session?
1; 0; 888; 999
1 = yes; 0= no; 888= N/A; 999= missing data
Query peq_3 Integer Recommended Did you ever get sleepy during the recordings?
1; 0; 888; 999
1 = yes; 0= no; 888= N/A; 999= missing data
Query peq_4 Integer Recommended Did you ever stop paying attention during the task?
1; 0; 888; 999
1 = yes; 0= no; 888= N/A; 999= missing data
Query visnum Float Recommended Numeric Visit Number -1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
Query days_baseline Integer Recommended Days since baseline
Query caq_1b Integer Recommended Coffee, brewed (drip) - in the last 24 hours, cups (1 cup=8-ounce)
Query caq_5b Integer Recommended Tea, brewed - in the last 24 hours, cups (1 cup=8-ounce)
Query caq_8b Integer Recommended Soft drink - in the last 24 hours, cups (1 cup=8-ounce)
Query rb_4 Integer Recommended Investing 10% of your annual income in a moderate growth diversified fund. (F/I) 1::7 1 = Not benefits at all; 4 = Moderate benefits; 7 = Great benefits
Query rb_5 Integer Recommended Drinking heavily at a social function. (H/S) 1::7 1 = Not benefits at all; 4 = Moderate benefits; 7 = Great benefits
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.