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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.

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Description
Value Range
Notes
Data Structures with shared data
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CPEA STAART S-DAS

cs_s_das

02

S-DAS as defined by the CPEA STAART project

Download Definition as
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 was completed. MM/DD/YYYYRequired fieldsdas_date_std
cycleIntegerRecommendedTimepoint information-1 = Screener; 0 = Baseline; 97 = Taper; 98 = Withdrawal; 99 = Interim contact
patidString20Recommendedsrc_Subject_idA Participant ID provided by DM-STAT must be present to process form
networkString20RecommendedNetworkCPEA or STAART Network
siteString100RecommendedSiteStudy Site
studyString100RecommendedStudy
sdas_ageIntegerRecommendedAge
sdas_ci_chbxIntegerRecommended90% or 95%90; 9590 = 90% Confidence interval; 95 = 95% Confidence interval
sdas_dateIntegerRecommendedSchool Age DAS Date
sdas_versionString35RecommendedSchool Age DAS Version
sdas_full_iqIntegerRecommendedIQ
sdas_gca_lciIntegerRecommendedLower Confidence Interval
sdas_gca_pctlFloatRecommendedPercentile
sdas_gca_ssIntegerRecommendedStandard Score
sdas_gca_sumtIntegerRecommendedSum of T Scores
sdas_gca_uciIntegerRecommendedUpper Confidence Interval
sdas_lvl_outIntegerRecommendedWas proband tested out of level?0; 10 = No; 1 = Yes
sdas_m_asIntegerRecommendedAbility Score10 156
sdas_m_iafIntegerRecommendedItems Administered From
sdas_m_iatIntegerRecommendedItems Administered To
sdas_m_maIntegerRecommendedMental Age
sdas_m_nvrIntegerRecommendedNonverbal Reasoning
sdas_m_othIntegerRecommendedOther
sdas_m_rsIntegerRecommendedRaw Score0 -33
sdas_m_snvcIntegerRecommendedSpecial Nonverbal Composite
sdas_m_spatIntegerRecommendedSpatial
sdas_m_tIntegerRecommendedT Score
sdas_ns_asIntegerRecommendedAbility Score10 253
sdas_ns_iafIntegerRecommendedItems Administered From
sdas_ns_iatIntegerRecommendedItems Administered To
sdas_ns_othIntegerRecommendedOther
sdas_ns_pctlIntegerRecommendedPercentile (Grade.Age)
sdas_ns_rsIntegerRecommendedRaw Score0 32
sdas_ns_ssIntegerRecommendedStandard Score
sdas_nvr_iqIntegerRecommendedIQ
sdas_nvr_lciIntegerRecommendedLower Confidence Interval
sdas_nvr_maIntegerRecommendedMental Age
sdas_nvr_pctlFloatRecommendedPercentile
sdas_nvr_ratiqIntegerRecommendedRatio IQ
sdas_nvr_ssIntegerRecommendedStandard Score
sdas_nvr_sumtIntegerRecommendedSum of T Scores
sdas_nvr_uciIntegerRecommendedUpper Confidence Interval
sdas_pc_asIntegerRecommendedAbility Score10 231
sdas_pc_as_altIntegerRecommendedAlternative Procedure - Ability Score
sdas_pc_iafIntegerRecommendedItems Administered From
sdas_pc_iaf_altIntegerRecommendedAlternative Procedure - Items Administered From
sdas_pc_iatIntegerRecommendedItems Administered to
sdas_pc_iat_altIntegerRecommendedAlternative Procedure - Items Administered to
sdas_pc_maIntegerRecommendedMental Age
sdas_pc_othIntegerRecommendedOther
sdas_pc_rsIntegerRecommendedRaw Score0 74
sdas_pc_rs_altIntegerRecommendedAlternative Procedure - Raw Score
sdas_pc_snvcIntegerRecommendedSpecial Nonverbal Composite
sdas_pc_spatIntegerRecommendedSpatial
sdas_pc_tIntegerRecommendedT Score
sdas_pc_typIntegerRecommendedType (Std./Alt.)
sdas_rde_asIntegerRecommendedAbility Score10 169
sdas_rde_iafIntegerRecommendedItems Administered From
sdas_rde_iatIntegerRecommendedItems Administered To
sdas_rde_maIntegerRecommendedMental Age
sdas_rde_othIntegerRecommendedOther
sdas_rde_rsIntegerRecommendedRaw Score0 47
sdas_rde_snvcIntegerRecommendedSpecial Nonverbal Composite
sdas_rde_spatIntegerRecommendedSpatial
sdas_rde_tIntegerRecommendedT Score
sdas_rdi_asIntegerRecommendedAbility Score10 211
sdas_rdi_maIntegerRecommendedMental Age
sdas_rdi_othIntegerRecommendedOther
sdas_rdi_rsIntegerRecommendedRaw Score0 36
sdas_rdi_tIntegerRecommendedT Score
sdas_rod_othIntegerRecommendedOther
sdas_rod_rsIntegerRecommendedRaw Score0 25
sdas_rod_tIntegerRecommendedT Score
sdas_roi_asIntegerRecommendedAbility Score
sdas_roi_othIntegerRecommendedOther
sdas_roi_rsIntegerRecommendedTotal Raw Score
sdas_roi_tIntegerRecommendedT Score
sdas_roi1_rsIntegerRecommendedRaw Score0 20
sdas_roi2_rsIntegerRecommendedRaw Score0 20
sdas_roi3_rsIntegerRecommendedRaw Score0 20
sdas_s_asIntegerRecommendedAbility Score10 152
sdas_s_iafIntegerRecommendedItems Administered From
sdas_s_iatIntegerRecommendedItems Administered To
sdas_s_maIntegerRecommendedMental Age
sdas_s_othIntegerRecommendedOther
sdas_s_rsIntegerRecommendedRaw Score0 34
sdas_s_spatIntegerRecommendedSimilarities: Spatial
sdas_s_tIntegerRecommendedT Score
sdas_s_verIntegerRecommendedVerbal
sdas_sip_asIntegerRecommendedAbility Score10 325
sdas_sip_iafIntegerRecommendedItems Administered From
sdas_sip_iatIntegerRecommendedItems Administered To
sdas_sip_othIntegerRecommendedOther
sdas_sip_tIntegerRecommendedT Score
sdas_snvcIntegerRecommendedSpecial Nonverbal Composite
sdas_snvc_iqIntegerRecommendedIQ
sdas_snvc_lciIntegerRecommendedLower Confidence Interval
sdas_snvc_pctlFloatRecommendedPercentile
sdas_snvc_ssIntegerRecommendedStandard Score
sdas_snvc_sumtIntegerRecommendedSum of T Scores
sdas_snvc_uciIntegerRecommendedUpper Confidence Interval
sdas_sp_asIntegerRecommendedAbility Score10 260
sdas_sp_iafIntegerRecommendedItems Administered From
sdas_sp_iatIntegerRecommendedItems Administered To
sdas_sp_othIntegerRecommendedOther
sdas_sp_pctlIntegerRecommendedPercentile (Grade/Age)
sdas_sp_rsIntegerRecommendedRaw Score0 35
sdas_sp_ssIntegerRecommendedStandard Score
sdas_spat_iqIntegerRecommendedIQ
sdas_spat_lciIntegerRecommendedLower Confidence Interval
sdas_spat_pctlFloatRecommendedPercentile
sdas_spat_ssIntegerRecommendedStandard Score
sdas_spat_sumtIntegerRecommendedSum of T Scores
sdas_spat_uciIntegerRecommendedUpper Confidence Interval
sdas_sqr_asIntegerRecommendedAbility Score10 152
sdas_sqr_iafIntegerRecommendedItems Administered From
sdas_sqr_iatIntegerRecommendedItems Administered To
sdas_sqr_maIntegerRecommendedMental Age
sdas_sqr_nvrIntegerRecommendedNonverbal Reasoning
sdas_sqr_othIntegerRecommendedOther
sdas_sqr_rsIntegerRecommendedRaw Score0 :: 39
sdas_sqr_snvcIntegerRecommendedSpecial Nonverbal Composite
sdas_sqr_spatIntegerRecommendedSpatial
sdas_sqr_tIntegerRecommendedT Score
sdas_ver_iqIntegerRecommendedIQ
sdas_ver_lciIntegerRecommendedLower Confidence Interval
sdas_ver_maIntegerRecommendedMental Age
sdas_ver_pctlFloatRecommendedPercentile
sdas_ver_ratiqIntegerRecommendedRatio IQ
sdas_ver_ssIntegerRecommendedStandard Score
sdas_ver_sumtIntegerRecommendedSum of T Scores
sdas_ver_uciIntegerRecommendedUpper Confidence Interval
sdas_wd_asIntegerRecommendedAbility Score10 :: 185
sdas_wd_iafIntegerRecommendedItems Administered From
sdas_wd_iatIntegerRecommendedItems Administered To
sdas_wd_maIntegerRecommendedMental Age
sdas_wd_othIntegerRecommendedOther
sdas_wd_rsIntegerRecommendedRaw Score0 42
sdas_wd_spatIntegerRecommendedSpatial
sdas_wd_tIntegerRecommendedT Score
sdas_wd_verIntegerRecommendedVerbal
sdas_wr_asIntegerRecommendedAbility Score10 212
sdas_wr_iafIntegerRecommendedItems Administered From
sdas_wr_iatIntegerRecommendedItems Administered To
sdas_wr_othIntegerRecommendedOther
sdas_wr_pctlIntegerRecommendedPercentile (Grade/Age)
sdas_wr_rsIntegerRecommendedRaw Score0 90
sdas_wr_ssIntegerRecommendedStandard Score
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_s_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.