NDA Help Center

Login Dialog

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



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.

Warning Notice

This is a U.S. Government computer system, which may be accessed and used only for authorized Government business by authorized personnel. Unauthorized access or use of this computer system may subject violators to criminal, civil, and/or administrative action. All information on this computer system may be intercepted, recorded, read, copied, and disclosed by and to authorized personnel for official purposes, including criminal investigations. Such information includes sensitive data encrypted to comply with confidentiality and privacy requirements. Access or use of this computer system by any person, whether authorized or unauthorized, constitutes consent to these terms. There is no right of privacy in this system.

Update Password

You have logged in with a temporary password. Please update your password. Passwords must contain 8 or more characters and must contain at least 3 of the following types of characters:

  • Uppercase
  • Lowercase
  • Numbers
  • Special Characters limited to: %,_,!,@,#,$,-,%,&,+,=,),(,*,^,:,;

Subscribe to our mailing list

Mailing List(s)
Email Format

You are now leaving the NIMH Data Archive (NDA) web site to go to:

Click on the address above if the page does not change within 10 seconds.


NDA is not responsible for the content of this external site and does not monitor other web sites for accuracy.

Accept Terms
Filter Cart
No filters selected
Value Range
Data Structures with shared data
No filters have been selected
Switch User

Kaufman Assessment Battery for Children, Second Edition



For Ages 3-6 & 7-18

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
atlan_raw_scoreIntegerRecommendedAtlantis raw score
conce_raw_scoreFloatRecommendedConceptual Thinking raw score
face_raw_scoreFloatRecommendedFace recognition raw scoreraw_score
story_raw_scoreFloatRecommendedStory Completion raw score
numbe_raw_scoreFloatRecommendedNumber Recall raw score
gesta_raw_scoreFloatRecommendedGestal Closure raw score
rover_raw_scoreFloatRecommendedRover raw score
atlandel_raw_scoreFloatRecommendedAtlantis Delayed raw score
expre_raw_scoreFloatRecommendedExpressive Vocabulary raw score
verb_raw_scoreFloatRecommendedVerbal Knowledge raw score
rebu_raw_scoreFloatRecommendedRebus raw score
tria_raw_scoreFloatRecommendedTriangles raw score
bloc_raw_scoreFloatRecommendedBlock Counting raw score
word_raw_scoreFloatRecommendedWord Order raw score
patt_raw_scoreFloatRecommendedPattern Reasoning raw score
hand_raw_scoreFloatRecommendedHand Movements raw score
ridd_raw_scoreFloatRecommendedRiddles raw score
atlan_scaled_scoreFloatRecommendedAtlantis scaled score
conce_scaled_scoreFloatRecommendedConceptual Thinking scaled score
face_scaled_scoreFloatRecommendedFace recognition scaled scorescaled_score
story_scaled_scoreFloatRecommendedStory Completion scaled score
numbe_scaled_scoreFloatRecommendedNumber Recall scaled score
gesta_scaled_scoreFloatRecommendedGestal Closure scaled score
rover_scaled_scoreFloatRecommendedRover scaled score
atlandel_scaled_scoreFloatRecommendedAtlantis Delayed scaled score
expre_scaled_scoreFloatRecommendedExpressive Vocabulary scaled score
verb_scaled_scoreFloatRecommendedVerbal Knowledge scaled score
rebu_scaled_scoreFloatRecommendedRebus scaled score
tria_scaled_scoreFloatRecommendedTriangles scaled score
bloc_scaled_scoreFloatRecommendedBlock Counting scaled score
word_scaled_scoreFloatRecommendedWord Order scaled score
patt_scaled_scoreFloatRecommendedPattern Reasoning scaled score
hand_scaled_scoreFloatRecommendedHand Movements scaled score
ridd_scaled_scoreFloatRecommendedRiddles scaled score
atlan_percentileFloatRecommendedAtlantis percentile
conce_percentileFloatRecommendedConceptual Thinking percentile
face_percentileFloatRecommendedFace recognition percentilepercentile_rank
story_percentileFloatRecommendedStory Completion percentile
numbe_percentileFloatRecommendedNumber Recall percentile
gesta_percentileFloatRecommendedGestal Closure percentile
rover_percentileFloatRecommendedRover percentile
atlandel_percentileFloatRecommendedAtlantis Delayed percentile
expre_percentileFloatRecommendedExpressive Vocabulary percentile
verb_percentileFloatRecommendedVerbal Knowledge percentile
rebu_percentileFloatRecommendedRebus percentile
tria_percentileFloatRecommendedTriangles percentile
bloc_percentileFloatRecommendedBlock Counting percentile
word_percentileFloatRecommendedWord Order percentile
patt_percentileFloatRecommendedPattern Reasoning percentile
hand_percentileFloatRecommendedHand Movements percentile
ridd_percentileFloatRecommendedRiddles percentile
atlan_age_equivFloatRecommendedAtlantis age equivalent
conce_age_equivFloatRecommendedConceptual Thinking age equivalent
face_age_equivFloatRecommendedFace recognition age equivalentage_equivalent
story_age_equivFloatRecommendedStory Completion age equivalent
numbe_age_equivFloatRecommendedNumber Recall age equivalent
gesta_age_equivFloatRecommendedGestal Closure age equivalent
rover_age_equivFloatRecommendedRover age equivalent
atlandel_age_equivFloatRecommendedAtlantis Delayed age equivalent
expre_age_equivFloatRecommendedExpressive Vocabulary age equivalent
verb_age_equivFloatRecommendedVerbal Knowledge age equivalent
rebu_age_equivFloatRecommendedRebus age equivalent
tria_age_equivFloatRecommendedTriangles age equivalent
bloc_age_equivFloatRecommendedBlock Counting age equivalent
word_age_equivFloatRecommendedWord Order age equivalent
patt_age_equivFloatRecommendedPattern Reasoning age equivalent
hand_age_equivFloatRecommendedHand Movements age equivalent
ridd_age_equivFloatRecommendedRiddles age equivalent
sequential_ssIntegerRecommendedSequential/gsm sum
learning_ssIntegerRecommendedLearning/glr sum
simultaneous_ssIntegerRecommendedSimultaneous/gv sum
knowledge_ssIntegerRecommendedKnowledge/gc sum
planning_ssIntegerRecommendedPlanning/gf sum
nvi_sumIntegerRecommendednonverbal index (nvi) sum
nvi_standard_scoreIntegerRecommendednonverbal index (nvi) standard score
nvi_confidense_intervalIntegerRecommendednonverbal index (nvi) confidense interval
nvi_percentile_rankFloatRecommendednonverbal index (nvi) percentile rank
sequential_fciIntegerRecommendedSequential/gsm FCI0;10=Checked;1=Unchecked
learning_fciIntegerRecommendedLearning/glr FCI0;10=Checked;1=Unchecked
simultaneous_fciIntegerRecommendedSimultaneous/gv FCI0;10=Checked;1=Unchecked
knowledge_fciIntegerRecommendedKnowledge/gc FCI0;10=Checked;1=Unchecked
planning_fciIntegerRecommendedPlanning/gf FCI0;10=Checked;1=Unchecked
sequential_mpiIntegerRecommendedSequential/gsm mpi0;10=Checked;1=Unchecked
learning_mpiIntegerRecommendedLearning/glr mpi0;10=Checked;1=Unchecked
simultaneous_mpiIntegerRecommendedSimultaneous/gv mpi0;10=Checked;1=Unchecked
knowledge_mpiIntegerRecommendedKnowledge/gc mpi0;10=Checked;1=Unchecked
planning_mpiIntegerRecommendedPlanning/gf mpi0;10=Checked;1=Unchecked
sequential_standard_scoresIntegerRecommendedSequential/gsm standard scores0;10=Checked;1=Unchecked
learning_standard_scoresIntegerRecommendedLearning/glr standard scores0;10=Checked;1=Unchecked
simultaneous_standard_scoresIntegerRecommendedSimultaneous/gv standard scores0;10=Checked;1=Unchecked
knowledge_standard_scoresIntegerRecommendedKnowledge/gc standard scores0;10=Checked;1=Unchecked
planning_standard_scoresIntegerRecommendedPlanning/gf standard scores0;10=Checked;1=Unchecked
sequential_confidenceIntegerRecommendedSequential/gsm confidence interval90;95
learning_confidenceIntegerRecommendedLearning/glr confidence interval90;95
simultaneous_confidenceIntegerRecommendedSimultaneous/gv confidence interval90;95
knowledge_confidenceIntegerRecommendedKnowledge/gc confidence interval90;95
planning_confidenceIntegerRecommendedPlanning/gf confidence interval90;95
sequential_percentileFloatRecommendedSequential/gsm percentile rank
learning_percentileFloatRecommendedLearning/glr percentile rank
simultaneous_percentileFloatRecommendedSimultaneous/gv percentile rank
knowledge_percentileFloatRecommendedKnowledge/gc percentile rank
planning_percentileFloatRecommendedPlanning/gf percentile rank
identify_scale_indxString3RecommendedScale index FCI or MPIFCI;MPI
scale_indx_sumIntegerRecommendedScale index sum
scale_indx_ssIntegerRecommendedScale index standard score
scale_indx_intervalIntegerRecommendedScale index confidense interval90;95
scale_indx_rankFloatRecommendedScale index percentile rank
conceptual_thinking_basalIntegerRecommendedconceptual thinking first 3 items passed, or drop back to item 10;10=Checked;1=Unchecked
conceptual_thinking_discontIntegerRecommendedconceptual thinking 4 scores of 0 in 5 consecutive items0;10=Checked;1=Unchecked
conceptual_thinking_1IntegerRecommendedConceptual thinking item 1 score0;1Score
conceptual_thinking_2IntegerRecommendedConceptual thinking item 2 score0;1Score
conceptual_thinking_3IntegerRecommendedConceptual thinking item 3 score0;1Score
conceptual_thinking_4IntegerRecommendedConceptual thinking item 4 score0;1Score
conceptual_thinking_5IntegerRecommendedConceptual thinking item 5 score0;1Score
conceptual_thinking_6IntegerRecommendedConceptual thinking item 6 score0;1Score
conceptual_thinking_7IntegerRecommendedConceptual thinking item 7 score0;1Score
conceptual_thinking_8IntegerRecommendedConceptual thinking item 8 score0;1Score
conceptual_thinking_9IntegerRecommendedConceptual thinking item 9 score0;1Score
conceptual_thinking_10IntegerRecommendedConceptual thinking item 10 score0;1Score
conceptual_thinking_11IntegerRecommendedConceptual thinking item 11 score0;1Score
conceptual_thinking_12IntegerRecommendedConceptual thinking item 12 score0;1Score
conceptual_thinking_13IntegerRecommendedConceptual thinking item 13 score0;1Score
conceptual_thinking_14IntegerRecommendedConceptual thinking item 14 score0;1Score
conceptual_thinking_15IntegerRecommendedConceptual thinking item 15 score0;1Score
conceptual_thinking_16IntegerRecommendedConceptual thinking item 16 score0;1Score
conceptual_thinking_17IntegerRecommendedConceptual thinking item 17 score0;1Score
conceptual_thinking_18IntegerRecommendedConceptual thinking item 18 score0;1Score
conceptual_thinking_19IntegerRecommendedConceptual thinking item 19 score0;1Score
conceptual_thinking_20IntegerRecommendedConceptual thinking item 20 score0;1Score
conceptual_thinking_21IntegerRecommendedConceptual thinking item 21 score0;1Score
conceptual_thinking_22IntegerRecommendedConceptual thinking item 22 score0;1Score
conceptual_thinking_23IntegerRecommendedConceptual thinking item 23 score0;1Score
conceptual_thinking_24IntegerRecommendedConceptual thinking item 24 score0;1Score
conceptual_thinking_25IntegerRecommendedConceptual thinking item 25 score0;1Score
conceptual_thinking_26IntegerRecommendedConceptual thinking item 26 score0;1Score
conceptual_thinking_27IntegerRecommendedConceptual thinking item 27 score0;1Score
conceptual_thinking_28IntegerRecommendedConceptual thinking item 28 score0;1Score
conceptual_thinking_ceilingIntegerRecommendedConceptual thinking ceiling item
conceptual_thinking_minusIntegerRecommendedConceptual thinking minus errors
face_recog_discontinueIntegerRecommendedFace recognition 4 consecutive scores of 00;10=Checked;1=Unchecked
face_recog_1IntegerRecommendedFace recognition item 1 score0;1Score
face_recog_2IntegerRecommendedFace recognition item 2 score0;1Score
face_recog_3IntegerRecommendedFace recognition item 3 score0;1Score
face_recog_4IntegerRecommendedFace recognition item 4 score0;1Score
face_recog_5IntegerRecommendedFace recognition item 5 score0;1Score
face_recog_6IntegerRecommendedFace recognition item 6 score0;1Score
face_recog_7IntegerRecommendedFace recognition item 7 score0;1Score
face_recog_8IntegerRecommendedFace recognition item 8 score0;1Score
face_recog_9IntegerRecommendedFace recognition item 9 score0;1Score
face_recog_10IntegerRecommendedFace recognition item 10 score0;1Score
face_recog_11IntegerRecommendedFace recognition item 11 score0;1Score
face_recog_12IntegerRecommendedFace recognition item 12 score0;1Score
face_recog_13IntegerRecommendedFace recognition item 13 score0;1Score
face_recog_14IntegerRecommendedFace recognition item 14 score0;1Score
face_recog_15IntegerRecommendedFace recognition item 15 score0;1Score
face_recog_16IntegerRecommendedFace recognition item 16 score0;1Score
face_recog_17IntegerRecommendedFace recognition item 17 score0;1Score
face_recog_18IntegerRecommendedFace recognition item 18 score0;1Score
face_recog_19IntegerRecommendedFace recognition item 19 score0;1Score
face_recog_20IntegerRecommendedFace recognition item 20 score0;1Score
face_recog_21IntegerRecommendedFace recognition item 21 score0;1Score
face_recog_ceilingIntegerRecommendedFace recognition ceiling item
face_recognition_minusIntegerRecommendedFace recognition minus errors
face_rqString20RecommendedFace Recognition percentile rank qualifierless-than;greater-than
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: kabc_ii01 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.