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Filter Cart

The Filter Cart provides a way to query and access data for which you may be interested.  There are multiple places to go query and Add to Filter Cart (Sometimes called Download).  

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 add subjects, sometimes it may take a few minutes to populate.  You can continue to do other things 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 available for the subjects selected 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 available.  However, if you want to see all of the clinical and phenotype, then select, "Find All Subject Data" to see all the data avaialble for those subjects.  

when a secord or third filter is applied, an AND condition is used to determine the subjects that are exist in all filters.  If the subject does not appear in any filter, that subjects data will be excluded from your filter cart. Given the sparcity of data in the NDA, it is possible for no subjects to appear across filters.  If that happens, clear your filter cart, and start over.  

The NDA is looking to enhance query/filtering.  Until additional tools become available, it is best to package more data than you need and then package and download the data and use other tools to further restrict and analyze the data.  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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NDAR provides a single access to de-identified autism research data. For permission to download data, you will need an NDAR account with approved access to NDAR or a connected repository (AGRE, IAN, or the ATP). For NDAR 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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The filters you have selected from various query interfaces will be stored here, in the 'Filter Cart'. The database will be queried using filters added to your 'Filter Cart', when multiple filters are defined, each will be executed using 'AND' logic, so with each filter that is applied the result set gets smaller.

From the 'Filter Cart' you can inspect each of the filters that have been defined, and you also have the option to remove filters. The 'Filter Cart' itself will display the number of filters applied along with the number of subjects that are identified by the combination of those filters. For example a GUID filter with two subjects, followed by a GUID filter for just one of those subjects would return only data for the subject that is in both GUID filters.

If you have a question about the filter cart, or underlying filters please contact the help desk at The NDA Help Desk

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There is currently a network outage affecting packaging and miNDAR creation. We expect it to be resolved shortly. Please email ndahelp@mail.nih.gov for assistance.

ABCD Task fMRI REC Behavior

mribrec

02

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.
genderString20RequiredSex of the subjectM;FM = Male; F = Female
eventnameString60RequiredThe event name for which the data was collected
tfmri_rec_beh_visitidString60RecommendedVisit name
tfmri_rec_beh_switchflagIntegerRecommendedWhether the button box responses were switched0;11= switch; 0= no switch
tfmri_rec_all_beh_newnf_hrFloatRecommendedHit rate of new neutral faces correctly recognizedtfmri_rec_all_beh_newneutface_hr
tfmri_rec_all_beh_newnf_faFloatRecommendedFalse alarm of new neutral faces showntfmri_rec_all_beh_newneutface_fa
tfmri_rec_all_beh_newpl_hrFloatRecommendedHit rate of new place correctly recognizedtfmri_rec_all_beh_newplace_hr
tfmri_rec_all_beh_newpl_faFloatRecommendedFalse alarm of new place showntfmri_rec_all_beh_newplace_fa
tfmri_rec_all_beh_newposf_hrFloatRecommendedHit rate of new positive face correctly recognizedtfmri_rec_all_beh_newposface_hr
tfmri_rec_all_beh_newposf_faFloatRecommendedFalse alarm of new positive faces showntfmri_rec_all_beh_newposface_fa
tfmri_rec_all_beh_newnegf_hrFloatRecommendedHit rate of new negative face correctly recognizedtfmri_rec_all_beh_newnegface_hr
tfmri_rec_all_beh_newnegf_faFloatRecommendedFalse alarm of new negative faces showntfmri_rec_all_beh_newnegface_fa
tfmri_rec_all_beh_oldposf_hrFloatRecommendedHit rate of positive faces shown in the N-back task correctly recognizedtfmri_rec_all_beh_oldposface_hr
tfmri_rec_all_beh_oldposf_faFloatRecommendedFalse alarm of positive faces shown in the n-back tasktfmri_rec_all_beh_oldposface_fa
tfmri_rec_all_beh_oldposf2b_hrFloatRecommendedHit rate of positive faces shown in the n-back task and in a 2-back block correctly recognizedtfmri_rec_all_beh_oldposface2back_hr
tfmri_rec_all_beh_oldposf2b_faFloatRecommendedFalse alarm of positive faces shown in the n-back task and in a 2-back blocktfmri_rec_all_beh_oldposface2back_fa
tfmri_rec_all_beh_oldposf0b_hrFloatRecommendedHit rate of positive faces shown in the n-back task and in a 0-back block correctly recognizedtfmri_rec_all_beh_oldposface0back_hr
tfmri_rec_all_beh_oldposf0b_faFloatRecommendedFalse alarm of positive faces shown in the n-back task and in a 0-back blocktfmri_rec_all_beh_oldposface0back_fa
tfmri_rec_all_beh_oldpl_hrFloatRecommendedHit rate of places shown in the N-back task correctly recognizedtfmri_rec_all_beh_oldplace_hr
tfmri_rec_all_beh_oldpl_faFloatRecommendedFalse alarm of places shown in the n-back tasktfmri_rec_all_beh_oldplace_fa
tfmri_rec_all_beh_oldpl2b_hrFloatRecommendedHit rate of places shown in the n-back task and in a 2-back block correctly recognizedtfmri_rec_all_beh_oldplace2back_hr
tfmri_rec_all_beh_oldpl2b_faFloatRecommendedFalse alarm of placesshown in the n-back task and in a 2-back blocktfmri_rec_all_beh_oldplace2back_fa
tfmri_rec_all_beh_oldpl0b_hrFloatRecommendedHit rate of places shown in the n-back task and in a 0-back block correctly recognizedtfmri_rec_all_beh_oldplace0back_hr
tfmri_rec_all_beh_oldpl0b_faFloatRecommendedFalse alarm of placesshown in the n-back task and in a 0-back blocktfmri_rec_all_beh_oldplace0back_fa
tfmri_rec_all_beh_oldnegf_hrFloatRecommendedHit rate of negative faces shown in the N-back task correctly recognizedtfmri_rec_all_beh_oldnegface_hr
tfmri_rec_all_beh_oldnegf_faFloatRecommendedFalse alarm of negative faces shown in the n-back tasktfmri_rec_all_beh_oldnegface_fa
tfmri_rec_all_beh_oldnegf2b_hrFloatRecommendedHit rate of negative faces shown in the n-back task and in a 2-back block correctly recognizedtfmri_rec_all_beh_oldnegface2back_hr
tfmri_rec_all_beh_oldnegf2b_faFloatRecommendedFalse alarm of negative faces shown in the n-back task and in a 2-back blocktfmri_rec_all_beh_oldnegface2back_fa
tfmri_rec_all_beh_oldnegf0b_hrFloatRecommendedHit rate of negative faces shown in the n-back task and in a 0-back block correctly recognizedtfmri_rec_all_beh_oldnegface0back_hr
tfmri_rec_all_beh_oldnegf0b_faFloatRecommendedFalse alarm of positive faces shown in the n-back task and in a 0-back blocktfmri_rec_all_beh_oldnegface0back_fa
tfmri_rec_all_beh_oldnf_hrFloatRecommendedHit rate of neutral faces shown in the N-back task correctly recognizedtfmri_rec_all_beh_oldneutface_hr
tfmri_rec_all_beh_oldnf_faFloatRecommendedFalse alarm of neutral faces shown in the n-back tasktfmri_rec_all_beh_oldneutface_fa
tfmri_rec_all_beh_oldnf2b_hrFloatRecommendedHit rate of neutral faces shown in the n-back task and in a 2-back block correctly recognizedtfmri_rec_all_beh_oldneutface2back_hr
tfmri_rec_all_beh_oldnf2b_faFloatRecommendedFalse alarm of neutral faces shown in the n-back task and in a 2-back blocktfmri_rec_all_beh_oldneutface2back_fa
tfmri_rec_all_beh_oldnf0b_hrFloatRecommendedHit rate of neutral faces shown in the n-back task and in a 0-back block correctly recognizedtfmri_rec_all_beh_oldneutface0back_hr
tfmri_rec_all_beh_oldnf0b_faFloatRecommendedFalse alarm of neutral faces shown in the n-back task and in a 0-back blocktfmri_rec_all_beh_oldneutface0back_fa
tfmri_rec_all_beh_posface_prFloatRecommendedCorrected accuracy for positive faces computed as tfmri_rec_all_beh_old.pos.face_hr-tfmri_rec_all_beh_new.pos.face_fa
tfmri_rec_all_beh_posface_brFloatRecommendedResponse bias for positive faces computed as (tfmri_rec_all_beh_new.pos.face_fa/(1-(tfmri_rec_all_beh_old.pos.face_hr - tfmri_rec_all_beh_new.pos.face_fa))) - 0.5
tfmri_rec_all_beh_posf_dprFloatRecommendedD-prime computed as norminv(tfmri_rec_all_beh_old.pos.face_hr) - norminv(tfmri_rec_all_beh_new.pos.face_fa); norminv normal inverse cumulative distribution function; in case of hr or fa equal to 0 or 1, use 1/(2N) for 0 and (1 - 1/(2N)) for 1; N total number of trialstfmri_rec_all_beh_posface_dprime
tfmri_rec_all_beh_neutface_prFloatRecommendedCorrected accuracy for neutral faces computed as tfmri_rec_all_beh_old.neut.face_hr-tfmri_rec_all_beh_new.neut.face_fa
tfmri_rec_all_beh_neutface_brFloatRecommendedResponse bias for neutral faces computed as (tfmri_rec_all_beh_new.neut.face_fa/(1-(tfmri_rec_all_beh_old.neut.face_hr - tfmri_rec_all_beh_new.neut.face_fa))) - 0.5
tfmri_rec_all_beh_neutf_dpFloatRecommendedD-prime computed as norminv(tfmri_rec_all_beh_old.pos.face_hr) - norminv(tfmri_rec_all_beh_new.pos.face_fa); norminv normal inverse cumulative distribution function; in case of hr or fa equal to 0 or 1, use 1/(2N) for 0 and (1 - 1/(2N)) for 1; N total number of trialstfmri_rec_all_beh_neutface_dprime
tfmri_rec_all_beh_negface_prFloatRecommendedCorrected accuracy for negative faces computed as tfmri_rec_all_beh_old.neg.face_hr-tfmri_rec_all_beh_new.neg.face_fa
tfmri_rec_all_beh_negface_brFloatRecommendedResponse bias for negative faces computed as (tfmri_rec_all_beh_new.neg.face_fa/(1-(tfmri_rec_all_beh_old.neg.face_hr - tfmri_rec_all_beh_new.neg.face_fa))) - 0.5
tfmri_rec_all_beh_negf_dpFloatRecommendedD-prime computed as norminv(tfmri_rec_all_beh_old.neg.face_hr) - norminv(tfmri_rec_all_beh_new.neg.face_fa); norminv normal inverse cumulative distribution function; in case of hr or fa equal to 0 or 1, use 1/(2N) for 0 and (1 - 1/(2N)) for 1; N total number of trialstfmri_rec_all_beh_negface_dprime
tfmri_rec_all_beh_place_prFloatRecommendedCorrected accuracy for places computed as tfmri_rec_all_beh_old.place_hr-tfmri_rec_all_beh_new.place_fa
tfmri_rec_all_beh_place_brFloatRecommendedResponse bias for places computed as (tfmri_rec_all_beh_new.place_fa/(1-(tfmri_rec_all_beh_old.place_hr-tfmri_rec_all_beh_new.place_fa))) - 0.5
tfmri_rec_all_beh_place_dpFloatRecommendedD-prime computed as norminv(tfmri_rec_all_beh_old.neg.face_hr) - norminv(tfmri_rec_all_beh_new.place_fa); norminv normal inverse cumulative distribution function; in case of hr or fa equal to 0 or 1, use 1/(2N) for 0 and (1 - 1/(2N)) for 1; N total number of trialstfmri_rec_all_beh_place_dprime
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: mribrec02 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.