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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

Description
Value Range
Notes
Data Structures with shared data
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Image

image

03

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Element NameData TypeSizeRequiredConditionDescriptionValue RangeNotesAliases
subjectkeyGUIDRequiredThe NDAR Global Unique Identifier (GUID) for research subjectNDAR*
src_subject_idString20RequiredSubject ID how it's defined in lab/projectsubjid
interview_dateDateRequiredDate on which the interview/genetic test/sampling/imaging was completed. MM/DD/YYYYRequired fieldScanDate, studydate
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
genderString20RequiredSex of the subjectM;FM = Male; F = Femalesex
comments_miscString4,000RecommendedMiscellaneous comments on study, interview, methodology relevant to this form dataSite
image_fileFileRequiredData file (image, behavioral, anatomical, etc)file_source
image_thumbnail_fileThumbnailRecommendedThumbnail
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 (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
scan_objectString50RequiredThe Object of the Scan (e.g. Live, Post-mortem, or PhantomLive; Post-mortem; Phantom
image_file_formatString50RequiredImage file formatAFNI; ANALYZE; AVI; BIORAD; BMP; BRIK; BRUKER; CHESHIRE; COR; DICOM; DM3; FITS; GE GENESIS; GE SIGNA4X; GIF; HEAD; ICO; ICS; INTERFILE; JPEG; LSM; MAGNETOM VISION; MEDIVISION; MGH; MICRO CAT; MINC; MIPAV XML; MRC; NIFTI; NRRD; OSM; PCX; PIC; PICT; PNG; QT; RAW; SPM; STK; TIFF; TGA; TMG; XBM; XPM; PARREC; MINC HDF; LIFF; BFLOAT; SIEMENS TEXT; ZVI; JP2; MATLAB; VISTA; ecat6; ecat7; PAR/REC
data_file2FileRecommendeddata file
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 Versionsmmps_version
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)
mri_echo_time_pdFloatConditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Echo Time (seconds)
flip_angleString30Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Flip angle
acquisition_matrixString30Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Acquisition matrix
mri_field_of_view_pdString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Field of View
patient_positionString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Patient position
photomet_interpretString50Conditionalimage_file_format != 'DICOM' && image_modality == 'MRI'Photometric interpretation
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
image_extent1IntegerConditionalimage_file_format != 'DICOM'Extent [1] X dimension1+
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
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
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
image_orientationString20Conditionalimage_file_format != 'DICOM'OrientationAxial; Coronal; Sagittal
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)
studyString100RecommendedStudygroup
weekFloatRecommendedWeek in level/study99=week 10-week 14
experiment_descriptionString4,000RecommendedDescription of experiment/sequence/eventname
visitString50RecommendedVisit nameCharacter description of each type of visitvisitid
slice_timingString800Conditionalscan_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
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_fileYes; 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
deviceserialnumberString5Recommendeddevice serial number of scanner
procdateDateRecommendeddata processed date
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.