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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

Glossary

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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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Delay Discounting Task

deldisk

01

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Element NameData TypeSizeRequiredDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*nimhid
src_subject_idString20RequiredSubject ID how it's defined in lab/projectptid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldsessiondate, studyday
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.age
sexString20RequiredSex of the subjectM;FM = Male; F = Femalegender, sex
dd_ip1FloatRecommendedDelay discounting - Indifference point for 1 day delay0 :: 10
dd_ip2FloatRecommendedDelay discounting - Indifference point for 2 day delay0 :: 10
dd_ip30FloatRecommendedDelay discounting - Indifference point for 30 day delay0 :: 10
dd_ip180FloatRecommendedDelay discounting - Indifference point for 180 day delay0 :: 10
dd_ip360FloatRecommendedDelay discounting - Indifference point for 360 day delay0 :: 10
dd_1IntegerRecommendedWould you prefer $54 today, or $55 in 117 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_2IntegerRecommendedWould you prefer $55 today, or $75 in 61 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_3IntegerRecommendedWould you prefer $19 today, or $25 in 53 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_4IntegerRecommendedWould you prefer $31 today, or $85 in 7 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_5IntegerRecommendedWould you prefer $14 today, or $25 in 19 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_6IntegerRecommendedWould you prefer $47 today, or $50 in 160 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_7IntegerRecommendedWould you prefer $15 today, or $35 in 13 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_8IntegerRecommendedWould you prefer $25 today, or $60 in 14 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_9IntegerRecommendedWould you prefer $78 today, or $80 in 162 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_10IntegerRecommendedWould you prefer $40 today, or $55 in 62 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_11IntegerRecommendedWould you prefer $11 today, or $30 in 7 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_12IntegerRecommendedWould you prefer $67 today, or $75 in 119 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_13IntegerRecommendedWould you prefer $34 today, or $35 in 186 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_14IntegerRecommendedWould you prefer $27 today, or $50 in 21 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_15IntegerRecommendedWould you prefer $69 today, or $85 in 91 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_16IntegerRecommendedWould you prefer $49 today, or $60 in 89 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_17IntegerRecommendedWould you prefer $80 today, or $85 in 157 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_18IntegerRecommendedWould you prefer $24 today, or $35 in 29 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_19IntegerRecommendedWould you prefer $33 today, or $80 in 14 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_20IntegerRecommendedWould you prefer $28 today, or $30 in 179 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_21IntegerRecommendedWould you prefer $34 today, or $50 in 30 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_22IntegerRecommendedWould you prefer $25 today, or $30 in 80 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_23IntegerRecommendedWould you prefer $41 today, or $75 in 20 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_24IntegerRecommendedWould you prefer $54 today, or $60 in 111 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_25IntegerRecommendedWould you prefer $54 today, or $80 in 30 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_26IntegerRecommendedWould you prefer $22 today, or $25 in 136 days?0;10=smaller reward today; 1=larger reward in the specified number of days
dd_27IntegerRecommendedWould you prefer $20 today, or $55 in 7 days?0;10=smaller reward today; 1=larger reward in the specified number of days
completedIntegerRecommendedChecks if completed0::30=No; 1=Yes; 2=Yes, lost; 3=Unverifieddd_completed
dd_expressions_nipsIntegerRecommendedThe total number of successfully determined temporal and probabilistic indifference points0::10The procedure determines a total of 10 different indifference points (for five temporal delays, 't1' to 't5', and five probabilistic 'delays', 'p1' to 'p5'). The procedure is stopped as soon as 'expressions.nips' returns 10, i.e. when all indifference points at question have been obtained.
dd_t1_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for temporal delay t10;10=No; 1=Yes
dd_t1_ipFloatRecommendedIndifference point estimate for temporal delay t10::10
dd_t2_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for temporal delay t20;10=No; 1=Yes
dd_t2_ipFloatRecommendedIndifference point estimate for temporal delay t20::10
dd_t3_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for temporal delay t30;10=No; 1=Yes
dd_t3_ipFloatRecommendedIndifference point estimate for temporal delay t30::10
dd_t4_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for temporal delay t40;10=No; 1=Yes
dd_t4_ipFloatRecommendedIndifference point estimate for temporal delay t40::10
dd_t5_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for temporal delay t50;10=No; 1=Yes
dd_t5_ipFloatRecommendedIndifference point estimate for temporal delay t50::10
dd_p1_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for probabilistic delay p10;10=No; 1=Yes
dd_p1_ipFloatRecommendedIndifference point estimate for probabilistic delay p10::10
dd_p2_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for probabilistic delay p20;10=No; 1=Yes
dd_p2_ipFloatRecommendedIndifference point estimate for probabilistic delay p20::10
dd_p3_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for probabilistic delay p30;10=No; 1=Yes
dd_p3_ipFloatRecommendedIndifference point estimate for probabilistic delay p30::10
dd_p4_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for probabilistic delay p40;10=No; 1=Yes
dd_p4_ipFloatRecommendedIndifference point estimate for probabilistic delay p40::10
dd_p5_ip_foundIntegerRecommendedHas an indifference point has been successfully determined for probabilistic delay p50;10=No; 1=Yes
dd_p5_ipFloatRecommendedIndifference point estimate for probabilistic delay p50::10
subject_responseString10RecommendedSubject's responsechoiceresp, delaydisc_choice_ab
rtFloatRecommendedReaction Timechoicert, delaydisc_rt, responsetime
delaytrialIntegerRecommendedtime in milliseconds between end of previous stimulus and beginning of current stimulus.delay
ddt_small_kFloatRecommendedk value for small sums of money ($25 to $35)
ddt_medium_kFloatRecommendedk value for medium sums of money ($50 to $60)
ddt_large_kFloatRecommendedk value for large sums of money ($75 to $85)
ddt_total_kFloatRecommendedk value for all sums of money ($25 to $85). Taken as the geometric mean of small k, medium k, and large k
ddt_log_small_kFloatRecommendedThe natural log of the k value for small sums of money. Done to reduce skewness.
ddt_log_medium_kFloatRecommendedThe natural log of the k value for medium sums of money. Done to reduce skewness.
ddt_log_large_kFloatRecommendedThe natural log of the k value for large sums of money. Done to reduce skewness.
ddt_log_total_kFloatRecommendedThe natural log of the k value for all sums of money. Done to reduce skewness.
ddt_small_inconIntegerRecommendedInconsistent responding within the small sums of money (3 or more responses are not consistent with the assigned small k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
ddt_medium_inconIntegerRecommendedInconsistent responding within the medium sums of money (3 or more responses are not consistent with the assigned medium k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
ddt_large_inconIntegerRecommendedInconsistent responding within the large sums of money (3 or more responses are not consistent with the assigned large k value). Inconsistent responding suggests that the assigned k value is not a good fit for the data. Exclude subject from analyses.
ddt_mn_rtFloatRecommendedMean reaction time for all trialsdelaydisc_meanrt
ddt_md_rtFloatRecommendedMedian reaction time for all trialsdelaydisc_medianrt
ddt_sd_rtFloatRecommendedStandard deviation of reaction time for all trialsdelaydisc_sdrt
ddt_items7_typoIntegerRecommendedThis indicates if there was a typo on item 7, in which the delay period is off (should be "13 days" but the typo says "136 days"). The scoring algorithm adjusts for the typo, but this variable may be used to exclude typo data if desired.
left_choice1String20Recommendedreward option on the left side of the screen for each item
right_choice2String20Recommendedreward option on the right side of the screen for each item
delayedchoiceString20RecommendedThis variable is supposed to indicate which button selects the delayed choice on a given trial. It is WRONG from item 19 to 27, and thus should NOT be used in calculations.
r_sizeString20Recommendedwhether the item is small (1), medium (2), or large (3) in monetary magnitude
sirIntegerRecommendedreward size for the immediate choice
ldrIntegerRecommendedreward size for the delayed choice
k_indiffFloatRecommendeddiscounting INDIFFERENCE value for each item
k_rankIntegerRecommendedRank of degree of discounting. Higher rank is higher discounting.
siteString101RecommendedSiteStudy Sitesiteid
timeptIntegerRecommendedTime Point888 = not applicable; 999 = missingtimepoint
trialIntegerRecommendedTrial number0::400; -777; -9991 = first; 2= second; 3=third; 4=fourth; 5=fifth; 6=sixth; etc; -777=NA, -999=missingdelaydisc_trial
ncaidIntegerRecommendedPrimary ID of Neurocognitive Test
delaydisc_typeString15RecommendedTime Length For 6-Trials Bundle (or if catch trial)
delaydisc_type_numIntegerRecommendedTrial # In Set of Six (0-6)
delaydisc_current_aFloatRecommendedAmount of Money Receive Immediately
delaydisc_current_kFloatRecommendedHow Deeply Value Decreased w/Time
version_formString100RecommendedForm used/assessment namedelaydisc_batteryid
testidIntegerRecommendedIdentifier of Current Testdelaydisc_testid
session_idString20Recommendedsession ID/screening IDdelaydisc_sittingid
cbgroupIntegerRecommendedCounterbalancing Groupdelaydisc_group
aurora_deviceIntegerRecommendedDevice Used1 :: 61=iPad; 2=iPhone; 3=Tablet; 4=Android Smartphone; 5=Desktop; 6=Laptopdelaydisc_device
visitString50RecommendedVisit namedelaydisc_timepoint
delaydisc_catch_scoreFloatRecommendedProportion of Correct Responses Across All Trials
delaydisc_lnkFloatRecommendedNatural Log Of K Parameter Averaged Across Conditions
delaydisc_twoweeks_lnkFloatRecommendedNatural Log Of K Parameter For Two Week Delays
delaydisc_onemonth_lnkFloatRecommendedNatural Log Of K Parameter For One Month Delays
delaydisc_sixmonths_lnkFloatRecommendedNatural Log Of K Parameter For Six Month Delays
delaydisc_oneyear_lnkFloatRecommendedNatural Log Of K Parameter For One Year Delays
delaydisc_threeyears_lnkFloatRecommendedNatural Log Of K Parameter For Three Year Delays
delaydisc_fiveyears_lnkFloatRecommendedNatural Log Of K Parameter For Five Year Delays
delaydisc_tenyears_lnkFloatRecommendedNatural Log Of K Parameter For Ten Year Delays
deviceserialnumberString200Recommendeddevice serial number/IDdelaydisc_useragent
testdurationIntegerRecommendedSeconds Taken To Complete Testdelaydisc_duration
testrestartsIntegerRecommendedNumber Of Times Participant Restarted Testdelaydisc_reloaded
experiment_nameString200RecommendedExperiment Nameexperimentname
groupsIntegerRecommendedGroup0;10=Control; 1=Casegroup
stimeString20RecommendedSession timesessiontime
block_numberIntegerRecommendedBlock Numberblock
handednessString29RecommendedhandednessR;L;B;999R = Right; L = Left; B = Both
respondentString20RecommendedRespondentMother;Father;Both; Child; Other; Parent
sv_6mo_200FloatRecommendedSubject for Delay / Indifference Point 6mo, Delay Amount $200
sv_3yr_200FloatRecommendedSubject for Delay / Indifference Point 3yr, Delay Amount $200
sv_1mo_200FloatRecommendedSubject for Delay / Indifference Point 1mo, Delay Amount $200
sv_5yr_200FloatRecommendedSubject for Delay / Indifference Point 5yr, Delay Amount $200
sv_10yr_200FloatRecommendedSubject for Delay / Indifference Point 10yr, Delay Amount $200
sv_1yr_200FloatRecommendedSubject for Delay / Indifference Point 1yr, Delay Amount $200
sv_6mo_40000FloatRecommendedSubject for Delay / Indifference Point 6mo, Delay Amount $40000
sv_3yr_40000FloatRecommendedSubject for Delay / Indifference Point 3yr, Delay Amount $40000
sv_1mo_40000FloatRecommendedSubject for Delay / Indifference Point 1mo, Delay Amount $40000
sv_5yr_40000FloatRecommendedSubject for Delay / Indifference Point 5yr, Delay Amount $40000
sv_10yr_40000FloatRecommendedSubject for Delay / Indifference Point 10yr, Delay Amount $40000
sv_1yr_40000FloatRecommendedSubject for Delay / Indifference Point 1yr, Delay Amount $40000
auc_200FloatRecommendedArea Under the Curve for Delay Amount $200
auc_40000FloatRecommendedArea Under the Curve for Delay Amount $40000
mpdatFloatRecommendeddays from enrollmentstudyday
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: deldisk01 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.