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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



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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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Download Definition as
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Element NameData TypeSizeRequiredConditionDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*candidateguid, guid, pseudo_guid, subject_key
src_subject_idString20RequiredSubject ID how it's defined in lab/projectchild_id_full, cibsr_id_ndar, clinical_barcode, demo_study_id, ibisid, participant_id, participantid, pid, record_id, subject_id, subjid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYYRequired fieldScanDate, assessment_dt, bl_visit_date, consentdate, consented_study, date_demographics, date_interview_ses, date_taken, fmri002, fmridt, interviewdate, intvdate, pfmridt, pp_date, profile_date, scan_date_ndar, studydate, testing_date, visit_date
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_at_imgexam, age_m_consent, age_mri_ndar, candidate_age_in_months, intvage, test_age, total_age_in_months
sexString20RequiredSex of the subject
M = Male; F = Femalegender, gender_mri_ndar, sex
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form dataSite, fspgod, scanner_ndar
image_fileFileConditionalisNull(manifest)Data file (image, behavioral, anatomical, etc)file_source
image_descriptionString512RequiredImage description, i.e. DTI, fMRI, Fast SPGR, phantom, EEG, dynamic PET
experiment_idIntegerConditionalscan_type == 'fMRI'ID for the Experiment/settings/run
scan_typeString50RequiredType of ScanMR diffusion; fMRI; MR structural (MPRAGE); MR structural (T1); MR structural (PD); MR structural (FSPGR); MR structural (FISP); MR structural (T2); PET; ASL; microscopy; MR structural (PD, T2); MR structural (B0 map); MR structural (B1 map); single-shell DTI; multi-shell DTI; Field Map; X-Ray; static magnetic field B0; pCASL: ASL; MR: T2star; MR: FLAIR; Localizer scan; MR structural (FLASH); MR structural (MP2RAGE); MR structural (TSE); MR structural (T1, T2); 2D gradient echo
scan_objectString50RequiredThe Object of the Scan (e.g. Live, Post-mortem, or PhantomLive; Post-mortem; Phantom
data_file2FileRecommendeddata file 2
data_file2_typeString100Recommendeddata file 2 type/description
image_modalityString20RequiredImage modalityMRI; PET; CT; SPECT; ultrasound; FA; X-Ray; spectroscopy; microscopyComputed Radiography; Computed Tomography; External Camera Photography; FA; General Microscopy; MRI; Magnetic Resonance; Magnetic Resonance Spectroscopy; Nuclear Medicine; Single Photon Emission Computed Tomography; Ultrasound
scanner_manufacturer_pdString30Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Scanner Manufacturermanufacturer
scanner_type_pdString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Scanner TypeScannerID, manufacturersmodelname
scanner_software_versions_pdString100Conditionalimage_file_format != 'DICOM'Scanner Software Versions!=DICOM means not equal DICOMmmps_version, scanner_soft_versions_pd
magnetic_field_strengthString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Magnetic field strengthmagneticfieldstrength
mri_repetition_time_pdFloatConditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Repetition Time (seconds)!=DICOM means not equal DICOM
mri_echo_time_pdString100Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Echo Time (seconds)!=DICOM means not equal DICOM
flip_angleString30Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Flip angle!=DICOM means not equal DICOM
acquisition_matrixString30Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Acquisition matrix!=DICOM means not equal DICOM
mri_field_of_view_pdString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Field of View!=DICOM means not equal DICOM
patient_positionString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Patient position!=DICOM means not equal DICOMpatientposition
photomet_interpretString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Photometric interpretation!=DICOM means not equal DICOM
receive_coilString50RecommendedReceive coil name
transmit_coilString50RecommendedTransmit coil name
transformation_performedString4RequiredPerformed transformation
Yes; No
transformation_typeString50Conditionaltransformation_performed == 'Yes'Type of transformation
image_historyString1,024RecommendedImage history,f.e. transformations steps and other modifications.
image_num_dimensionsIntegerConditionalimage_file_format != 'DICOM'Number of dimensions1 :: 5!=DICOM means not equal DICOMndim
image_extent1IntegerConditionalimage_file_format != 'DICOM'Extent [1] X dimension1+!=DICOM means not equal DICOM
image_extent2IntegerConditionalimage_num_dimensions > 1Extent [2] Y dimension1+
image_extent3IntegerConditionalimage_num_dimensions > 2Extent [3] Z dimension1+
image_extent4IntegerConditionalimage_num_dimensions > 3Extent [4]
extent4_typeString50Conditionalimage_num_dimensions > 3Description of extent [4]
image_extent5IntegerConditionalimage_num_dimensions > 4Extent [5]1+
extent5_typeString50Conditionalimage_num_dimensions > 4Description of extent [5]
image_unit1String20Conditionalimage_file_format != 'DICOM'Units [1] X dimensionInches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number!=DICOM means not equal DICOM
image_unit2String20Conditionalimage_num_dimensions > 1Units [2] Y dimensionInches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number
image_unit3String20Conditionalimage_num_dimensions > 2Units [3] Z dimensionInches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number
image_unit4String50Conditionalimage_num_dimensions > 3Units [4]Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; Diffusion gradient; frame number; number of Volumes (across time)
image_unit5String20Conditionalimage_num_dimensions > 4Units [5]Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; Diffusion gradient; frame number
image_resolution1FloatConditionalimage_file_format != 'DICOM'Resolution [1] X dimension!=DICOM means not equal DICOM
image_resolution2FloatConditionalimage_num_dimensions > 1Resolution [2] Y dimension
image_resolution3FloatConditionalimage_num_dimensions > 2Resolution [3] Z dimension
image_resolution4FloatConditionalimage_num_dimensions > 3Resolution [4]
image_resolution5FloatConditionalimage_num_dimensions > 4Resolution [5]
image_slice_thicknessFloatConditionalimage_file_format != 'DICOM'Slice thickness!=DICOM means not equal DICOM
image_orientationString20Conditionalimage_file_format != 'DICOM'OrientationAxial; Coronal; Sagittal!=DICOM means not equal DICOM
qc_outcomeString25RecommendedProvide information on the conclusion of the quality control methods regarding the quality of the imagepass;fail;questionable
qc_descriptionString255RecommendedProvide information on the methods used to perform quality control checks on the image
qc_fail_quest_reasonString255RecommendedProvide a reason that the image was determined to fail a quality control check or if the quality control check determined that the image was questionable
decay_correctionString10RecommendedDecay correction
frame_end_timesString50RecommendedFrame end times
frame_end_unitString10RecommendedFrame end unit
frame_start_timesString50RecommendedFrame start times
frame_start_unitString10RecommendedFrame start unit
pet_isotopeString50RecommendedPET isotope
pet_tracerString100RecommendedPET tracer
time_diff_inject_to_imageIntegerRecommendedTime difference injection to image
time_diff_unitsString10RecommendedTime difference units
pulse_seqString250RecommendedInformation regarding the pulse sequence
slice_acquisitionIntegerRecommendedfMRI slice acquisition1::41=ascending; 2=descending; 3=interleaved-even first; 4=interleaved-odd first
software_preprocString250RecommendedSoftware used for preprocessing/transformation of images (include version number)
weekFloatRecommendedWeek in level/study99=week 10-week 14
experiment_descriptionString4,000RecommendedDescription of experiment/sequence/eventname
visitString50RecommendedVisit nameassessment, visitid
slice_timingString2,000Conditionalscan_type == 'fMRI' && image_file_format != 'DICOM'The time at which each slice was acquired during the acquisition. Slice timing is not slice order - it describes the time (sec) of each slice acquisition in relation to the beginning of volume acquisition. It is described using a list of times (in JSON format) referring to the acquisition time for each slice. The list goes through slices along the slice axis in the slice encoding dimension!=DICOM means not equal DICOM
bvek_bval_filesString5Conditionalscan_type == 'MR diffusion' || scan_type == 'multi-shell DTI' || scan_type == 'single-shell DTI'bvec and bval files provided as part of image_file or manifestYes; No
bvecfileFileConditionalbvek_bval_files=='No'Bvec file. The bvec files contain 3 rows with n space-delimited floating-point 5 numbers (corresponding to the n volumes in the relevant Nifti file). The first row contains the x elements, the second row contains the y elements and third row contains the z elements of a unit vector in the direction of the applied diffusion gradient, where the i-th elements in each row correspond together to the i-th volume with [0,0,0] for non-diffusion-weighted volumes
bvalfileFileConditionalbvek_bval_files=='No'Bval file. The bval file contains the b-values (in s/mm2) corresponding to the volumes in the relevant Nifti file), with 0 designating non-diffusion-weighted volumes, space-delimited
deviceserialnumberString200Recommendeddevice serial number/ID
procdateDateRecommendeddata processed date
visnumFloatRecommendedNumeric Visit Number-1.5 = Pre-Screening; -1 = Screening; 0 = Baseline; ## = Visit ## (from 1 to 10); Whole numbers = standard monthly visits; #.001 - #.009 = Unscheduled; #.1 = End of Phase 1; #.2 = End of Phase 2; #.3 = End of Phase 3; #.4 = End of Open Choice Phase; #.5 = End of Study; #.6 = Genetic Analysis; 1000=all visits
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: image03 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.