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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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Data Structures with shared data
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P-DAS as defined by the CPEA STAART project

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Download Submission Template as
Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldPDAS_DATE_STD
cycleIntegerRecommendedTimepoint information-1 = Screener; 0 = Baseline; 97 = Taper; 98 = Withdrawal; 99 = Interim contact; Otherwise: weeks since baseline
patidString20Recommendedsrc_Subject_idA Participant ID provided by DM-STAT must be present to process form
networkString20RecommendedNetworkCPEA or STAART Network
siteString100RecommendedSiteStudy Site
pdas_ageIntegerRecommendedPre-School DAS: Age
pdas_bb_asIntegerRecommendedAbility Score10 186
pdas_bb_coreIntegerRecommendedBlock Building
pdas_bb_maIntegerRecommendedMental Age
pdas_bb_rsIntegerRecommendedRaw Score0 13
pdas_bb_snvcIntegerRecommendedSpecial Nonverbal Composite
pdas_bb_tIntegerRecommendedT Score
pdas_c_asIntegerRecommendedAbility Score10 170
pdas_c_iafIntegerRecommendedItems administered from1 37
pdas_c_iatIntegerRecommendedItems administered to1 37
pdas_c_maIntegerRecommendedMental Age
pdas_c_nvcIntegerRecommendedNonverbal Cluster
pdas_c_rsIntegerRecommendedRaw Score0 37
pdas_c_tIntegerRecommendedT Score
pdas_ci_chbxFloatRecommended90% or 95%
pdas_dateIntegerRecommendedPre-School DAS: Date
pdas_versionString35RecommendedPre-School DAS Version
pdas_gca_lciIntegerRecommendedLower Confidence Interval
pdas_gca_ssIntegerRecommendedStandard Score
pdas_gca_sumtIntegerRecommendedSum of T Scores
pdas_gcat_ssIntegerRecommendedStandard Score
pdas_gcat_sumtIntegerRecommendedSum of T Scores
pdas_levelIntegerRecommendedLower or Upper
pdas_lvl_outIntegerRecommendedWas proband tested out of level?0;1
pdas_mctIntegerRecommendedMean Core T
pdas_mll_asIntegerRecommendedAbility Score0 93
pdas_mll_iafString255RecommendedItems administered from
pdas_mll_iatString255RecommendedItems administered to
pdas_mll_maIntegerRecommendedMental Age
pdas_mll_rsString255RecommendedRaw Score
pdas_mll_tIntegerRecommendedT Score
pdas_nc_asIntegerRecommendedAbility Score
pdas_nc_iafIntegerRecommendedItems administered from1 27
pdas_nc_iatIntegerRecommendedItems administered to1 27
pdas_nc_maIntegerRecommendedMental Age
pdas_nc_rsIntegerRecommendedRaw Score0 27
pdas_nc_tIntegerRecommendedT Score
pdas_nc_uplIntegerRecommendedUpper Preschool Level
pdas_nv_asIntegerRecommendedAbility Score10 169
pdas_nv_coreIntegerRecommendedNaming Vocabulary
pdas_nv_iafIntegerRecommendedItems administered from1 26
pdas_nv_iatIntegerRecommendedItems administered to1 26
pdas_nv_maIntegerRecommendedMental Age
pdas_nv_rsIntegerRecommendedRaw Score0 26
pdas_nv_tIntegerRecommendedT Score
pdas_nv_vcIntegerRecommendedSpecial Nonverbal Composite
pdas_nvc_ssIntegerRecommendedStandard Score
pdas_nvc_sumtIntegerRecommendedSum of T Scores
pdas_nvc_uciIntegerRecommendedUpper Confidence Interval
pdas_nvr_maIntegerRecommendedMental Age
pdas_nvr_ratiqIntegerRecommendedRatio IQ
pdas_oth_sumtIntegerRecommendedSum of T Scores
pdas_pc_asIntegerRecommendedAbility Score10 231
pdas_pc_as_altIntegerRecommendedAbility Score
pdas_pc_casIntegerRecommendedCalculated Ability Score
pdas_pc_chbxString255RecommendedStd or Alt check box
pdas_pc_coreIntegerRecommendedPattern Construction
pdas_pc_iafIntegerRecommendedItems administered from1 26
pdas_pc_iaf_altIntegerRecommendedItems administered from1 26
pdas_pc_iatIntegerRecommendedItems administered to1 26
pdas_pc_iat_altIntegerRecommendedItems administered to1 26
pdas_pc_maIntegerRecommendedMental Age
pdas_pc_nvcIntegerRecommendedNonverbal Cluster
pdas_pc_rsIntegerRecommendedRaw Score0 74
pdas_pc_rs_altIntegerRecommendedRaw Score
pdas_pc_tIntegerRecommendedT Score
pdas_ps_asIntegerRecommendedAbility Score10 118
pdas_ps_coreIntegerRecommendedPicture Similarities
pdas_ps_iafIntegerRecommendedItems administered from1 32
pdas_ps_iatIntegerRecommendedItems administered to1 32
pdas_ps_maIntegerRecommendedMental Age
pdas_ps_nvcIntegerRecommendedNonverbal Cluster
pdas_ps_rsIntegerRecommendedRaw Score0 32
pdas_ps_snvcIntegerRecommendedSpecial Nonverbal Composite
pdas_ps_tIntegerRecommendedT Score
pdas_rdi_asIntegerRecommendedAbility Score10 211
pdas_rdi_iafString255RecommendedItems administered from
pdas_rdi_iatString255RecommendedItems administered to
pdas_rdi_maIntegerRecommendedMental Age
pdas_rdi_rsString255RecommendedRaw Score (Number correct)
pdas_rdi_tIntegerRecommendedT Score
pdas_rod_asIntegerRecommendedAbility Score
pdas_rod_maIntegerRecommendedMental Age
pdas_rod_rsString255RecommendedDelayed Raw Score
pdas_rod_tIntegerRecommendedT Score for Delayed Trial
pdas_roi_asIntegerRecommendedAbility Score
pdas_roi_maIntegerRecommendedMental Age
pdas_roi_rsString255RecommendedImmediate Raw Score
pdas_roi_tIntegerRecommendedT Score
pdas_roi1_rsString255RecommendedRaw Score
pdas_roi2_rsString255RecommendedRaw Score
pdas_roi3_rsString255RecommendedRaw Score
pdas_rp_asIntegerRecommendedAbility Score10 138
pdas_rp_iafString255RecommendedItems administered from
pdas_rp_iatString255RecommendedItems administered to
pdas_rp_maIntegerRecommendedMental Age
pdas_rp_rsString255RecommendedRaw Score
pdas_rp_tIntegerRecommendedT Score
pdas_snvc_ssIntegerRecommendedComposite Standard Score
pdas_snvc_sumtIntegerRecommendedSum of T Scores
pdas_snvc_uciIntegerRecommendedUpper Confidence Interval
pdas_spnc_cluIntegerRecommendedSpecial Nonverbal Composite
pdas_upl_sumtIntegerRecommendedSum of T Scores
pdas_vc_asIntegerRecommendedAbility Score10 174
pdas_vc_coreIntegerRecommendedVerbal Comprehension
pdas_vc_iafIntegerRecommendedItems administered from1 36
pdas_vc_iatIntegerRecommendedItems administered to1 36
pdas_vc_lciIntegerRecommendedLower Confidence Interval
pdas_vc_maIntegerRecommendedMental Age
pdas_vc_rsIntegerRecommendedRaw Score0 36
pdas_vc_ssIntegerRecommendedStandard Score
pdas_vc_sumtIntegerRecommendedSum of T Scores
pdas_vc_tIntegerRecommendedT Score
pdas_vc_vcIntegerRecommendedVerbal Cluster
pdas_ver_maFloatRecommendedMental Age
pdas_ver_ratiqIntegerRecommendedRatio IQ
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: cs_p_das02 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.