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Filter Cart

Viewable at the top right of NDA pages, the Filter Cart is a temporary holder for filters and data they select. Filters are added to the Workspace first, before being submitted to The Filter Cart. Data selected by filters in the Filter Cart can be added to a Data Package or an NDA Study from the Data Packaging Page, by clicking the 'Create Data Package / Add Data to Study' button.

The filter cart supports combining multiple filters together, and depending on filter type will use "AND" or "OR"  when combining filters.

Multiple selections from the same filter type will result in those selections being applied with an ‘OR’ condition. For example, if you add an NDA Collection Filter with selections for both collections 2112 and 2563 to an empty Workspace, the subjects from NDA Collection 2112 ‘OR’ NDA Collection 2563 will be added to your Workspace even if a subject is in both NDA Collections. You can then add other NDA Collections to your Workspace which further extends the ‘OR’ condition.

If a different filter type is added to your Workspace, or a filter has already been submitted to the Filter Cart, the operation then performs a logical ‘AND’ operation. This means that given the subjects returned from the first filter, only those subjects that matched the first filter are returned by the second filter (i.e., subjects that satisfied both filters). Note that only the subjects specific to your filter will be added to your Filter Cart and only on data shared with the research community. Other data for those same subjects may exist (i.e., within another NDA Collection, associated with a data structure that was not requested in the query, etc.). So, users should select ‘Find all Subjects Data’ to identify all data for those specific subjects. 

Additional Tips:

  • You may query the data without an account, but to gain access you will need to create an NDA user account and apply for access.  Most data access requires that you or your lab are sponsored by an NIH recognized institution with Federal Wide Assurance (FWA).  Without access, you will not be able to obtain individual-level data. 

    Once you have selected data of interest you can:
  • Create a data package - This allows you to specify format for access/download
  • Assign to Study Cohort - Associate the data to an NDA Study allowing for a DOI to be generated and the data to be linked directly to a finding, publication, or data release. 
  • Find All Subject Data - Depending on filter types being used, not all data associated with a subject will be selected.  Data may be restricted by data structure, NDA Collection, or outcome variables (e.g., NDA Study). ‘Find All Data’ expands the fliter criteria by replacing all filters in your Filter Cart with a single Query by GUID filter for all subjects selected by those filters.

    Please Note:
  • When running a query, it may take a moment to populate the Filter Cart. Queries happen in the background so you can define other queries during this time. 
  • When you add your first filter, all data associated with your query will be added to the Filter Cart (e.g., a Concept, an NDA Collection, a Data Structure/Element, etc.). As you add additional filters, they will also display in the Filter Cart. Only the name of filter will be shown in the Filter Cart, not the underlying structures. 
  • Information about the contents of the Filter Cart can be seen by clicking "Edit”.
  • Once your results appear in the Filter Cart, you can create a data package or assign subjects to a study by selecting the 'Package/Assign to Study' option. You can also 'Edit' or 'Clear' filters.
     

Frequently Asked Questions

  • The Filter Cart currently employs basic AND/OR Boolean logic. A single filter may contain multiple selections for that filter type, e.g., a single NDA Study filter might contain NDA Study 1 and NDA Study 2. A subject that is in EITHER 1 OR 2 will be returned.  Adding multiple filters to the cart, regardless of type, will AND the result of each filter.  If NDA Study 1 and NDA Study 2 are added as individual filters, data for a subject will only be selected if the subject is included in  BOTH 1 AND 2.

  • Viewable at the top right of NDA pages, the Filter Cart is a temporary holder of data identified by the user, through querying or browsing, as being of some potential interest. The Filter Cart is where you send the data from your Workspace after it has been filtered.

  • After filters are added to the Filter Cart, users have options to ‘Create a Package’ for download, ‘Associate to Study Cohort’, or ‘Find All Subject Data’. Selecting ‘Find All Subject Data’ identifies and pulls all data for the subjects into the Filter Cart. Choosing ‘Create a Package’ allows users to package and name their query information for download. Choosing ‘Associate to Study Cohort’ gives users the opportunity to choose the Study Cohort they wish to associate this data.

Glossary

  • Once your filter cart contains the subjects of interest, select Create Data Package/Assign to Data Study which will provide options for accessing item level data and/or assigning to a study.  

  • Once queries have been added to your workspace, the next step is to Submit the Filters in the workspace to the Filter Cart.  This process runs the queries selected, saving the results within a filter cart attached to your account.  

  • The Workspace within the General Query Tool is a holding area where you can review your pending filters prior to adding them to Filter Cart. Therefore, the first step in accessing data is to select one or more items and move it into the Workspace. 

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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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Image

37,710 Shared Subjects

N/A
Neurosignal Recordings
DTI, MRI, fMRI
10/20/2011
image03
02/03/2020
View Change History
03
Query Element Name Data Type Size Required Condition Description Value Range Notes Aliases
subjectkey GUID Required The NDAR Global Unique Identifier (GUID) for research subject NDAR* candidateguid, guid, pseudo_guid, subject_key
src_subject_id String 20 Required Subject ID how it's defined in lab/project child_id_full, cibsr_id_ndar, clinical_barcode, demo_study_id, ibisid, participant_id, participantid, pid, record_id, subject_id, subjid
interview_date Date Required Date on which the interview/genetic test/sampling/imaging/biospecimen was completed. MM/DD/YYYY Required field ScanDate, 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_age Integer Required Age in months at the time of the interview/test/sampling/imaging. 0 :: 1260 Age 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
sex String 20 Required Sex of the subject
M;F; O; NR
M = Male; F = Female; O=Other; NR = Not reported gender, gender_mri_ndar, sex
comments_misc String 4,000 Recommended Miscellaneous comments on study, interview, methodology relevant to this form data Site, fspgod, scanner_ndar
image_file File Conditional isNull(manifest) Data file (image, behavioral, anatomical, etc) file_source
image_thumbnail_file Thumbnail Recommended Thumbnail
Query image_description String 512 Required Image description, i.e. DTI, fMRI, Fast SPGR, phantom, EEG, dynamic PET
Query experiment_id Integer Conditional scan_type == 'fMRI' ID for the Experiment/settings/run
Query scan_type String 50 Required Type of Scan MR 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; MR structural (MPnRAGE)
Query scan_object String 50 Required The Object of the Scan (e.g. Live, Post-mortem, or Phantom Live; Post-mortem; Phantom
Query image_file_format String 50 Required Image file format AFNI; 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; FIF
data_file2 File Recommended data file 2
Query data_file2_type String 100 Recommended data file 2 type/description
Query image_modality String 20 Required Image modality MRI; PET; CT; SPECT; ultrasound; FA; X-Ray; spectroscopy; microscopy Computed Radiography; Computed Tomography; External Camera Photography; FA; General Microscopy; MRI; Magnetic Resonance; Magnetic Resonance Spectroscopy; Nuclear Medicine; Single Photon Emission Computed Tomography; Ultrasound
Query scanner_manufacturer_pd String 30 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Equipment Manufacturer camera_make, manufacturer
scanner_type_pd String 50 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Equipment Type/name ScannerID, camera_model, manufacturersmodelname
scanner_software_versions_pd String 100 Conditional image_file_format != 'DICOM' Aquisition/analysis Software Versions !=DICOM means not equal DICOM acquisiton_software, mmps_version, scanner_soft_versions_pd
Query magnetic_field_strength String 50 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Magnetic field strength magneticfieldstrength
Query mri_repetition_time_pd Float Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Repetition Time (seconds) !=DICOM means not equal DICOM
Query mri_echo_time_pd String 100 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Echo Time (seconds) !=DICOM means not equal DICOM
flip_angle String 30 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Flip angle !=DICOM means not equal DICOM
acquisition_matrix String 30 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Acquisition matrix !=DICOM means not equal DICOM
mri_field_of_view_pd String 50 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Field of View !=DICOM means not equal DICOM
Query patient_position String 50 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Patient position !=DICOM means not equal DICOM patientposition
Query photomet_interpret String 50 Conditional image_file_format != 'DICOM' && image_modality == 'MRI' Photometric interpretation !=DICOM means not equal DICOM
Query receive_coil String 50 Recommended Receive coil name
Query transmit_coil String 50 Recommended Transmit coil name
Query transformation_performed String 4 Required Performed transformation
Yes; No
Query transformation_type String 50 Conditional transformation_performed == 'Yes' Type of transformation
Query image_history String 1,024 Recommended Image history,f.e. transformations steps and other modifications.
Query image_num_dimensions Integer Conditional image_file_format != 'DICOM' Number of dimensions 1 :: 5 !=DICOM means not equal DICOM ndim
Query image_extent1 Integer Conditional image_file_format != 'DICOM' Extent [1] X dimension 1+ !=DICOM means not equal DICOM
Query image_extent2 Integer Conditional image_num_dimensions > 1 Extent [2] Y dimension 1+
Query image_extent3 Integer Conditional image_num_dimensions > 2 Extent [3] Z dimension 1+
Query image_extent4 Integer Conditional image_num_dimensions > 3 Extent [4]
Query extent4_type String 50 Conditional image_num_dimensions > 3 Description of extent [4]
Query image_extent5 Integer Conditional image_num_dimensions > 4 Extent [5] 1+
extent5_type String 50 Conditional image_num_dimensions > 4 Description of extent [5]
Query image_unit1 String 20 Conditional image_file_format != 'DICOM' Units [1] X dimension Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number !=DICOM means not equal DICOM
Query image_unit2 String 20 Conditional image_num_dimensions > 1 Units [2] Y dimension Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number
Query image_unit3 String 20 Conditional image_num_dimensions > 2 Units [3] Z dimension Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; frame number
Query image_unit4 String 50 Conditional image_num_dimensions > 3 Units [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)
Query image_unit5 String 20 Conditional image_num_dimensions > 4 Units [5] Inches; Centimeters; Angstroms; Nanometers; Micrometers; Millimeters; Meters; Kilometers; Miles; Nanoseconds; Microseconds; Milliseconds; Seconds; Minutes; Hours; Hertz; Diffusion gradient; frame number
Query image_resolution1 Float Conditional image_file_format != 'DICOM' Resolution [1] X dimension !=DICOM means not equal DICOM
Query image_resolution2 Float Conditional image_num_dimensions > 1 Resolution [2] Y dimension
Query image_resolution3 Float Conditional image_num_dimensions > 2 Resolution [3] Z dimension
Query image_resolution4 Float Conditional image_num_dimensions > 3 Resolution [4]
Query image_resolution5 Float Conditional image_num_dimensions > 4 Resolution [5]
Query image_slice_thickness Float Conditional image_file_format != 'DICOM' Slice thickness !=DICOM means not equal DICOM
Query image_orientation String 20 Conditional image_file_format != 'DICOM' Orientation Axial; Coronal; Sagittal !=DICOM means not equal DICOM
Query qc_outcome String 25 Recommended Provide information on the conclusion of the quality control methods regarding the quality of the image pass;fail;questionable; undetermined; obsolete
Query qc_description String 255 Recommended Provide information on the methods used to perform quality control checks on the image
Query qc_fail_quest_reason String 255 Recommended Provide 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
Query decay_correction String 10 Recommended Decay correction
frame_end_times String 50 Recommended Frame end times
frame_end_unit String 10 Recommended Frame end unit
frame_start_times String 50 Recommended Frame start times
frame_start_unit String 10 Recommended Frame start unit
Query pet_isotope String 50 Recommended PET isotope
Query pet_tracer String 100 Recommended PET tracer
Query time_diff_inject_to_image Integer Recommended Time difference injection to image
Query time_diff_units String 10 Recommended Time difference units
Query pulse_seq String 250 Recommended Information regarding the pulse sequence
Query slice_acquisition Integer Recommended fMRI slice acquisition 1::4 1=ascending; 2=descending; 3=interleaved-even first; 4=interleaved-odd first
Query software_preproc String 250 Recommended Software used for preprocessing/transformation of images (include version number)
study String 100 Recommended Study group
Query week Float Recommended Week in level/study 99=week 10-week 14
experiment_description String 4,000 Recommended Description of experiment/sequence/event name
Query visit String 60 Recommended Visit name assessment, visitid
slice_timing String 2,000 Conditional scan_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
Query bvek_bval_files String 5 Conditional scan_type == 'MR diffusion' || scan_type == 'multi-shell DTI' || scan_type == 'single-shell DTI' bvec and bval files provided as part of image_file or manifest Yes; No
bvecfile File Conditional bvek_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
bvalfile File Conditional bvek_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
Query deviceserialnumber String 200 Recommended device serial number/ID
procdate Date Recommended data processed date
Query visnum Float Recommended Numeric 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
manifest Manifest Conditional isNull(image_file)
emission_wavelingth Integer Conditional image_modality=='microscopy' && image_num_dimensions==2 emission wavelength in nanometers 100::1200
objective_magnification Float Conditional in_stack==1 magnification
objective_na Float Conditional in_stack==1 numerical aperture of objective lens 0.00::2.00
immersion Integer Conditional in_stack==1 immersion medium 0::3 0=none; 1=oil; 2=water; 3=glycerol
exposure_time Float Conditional in_stack==1 exposure time in seconds
camera_sn String 50 Conditional image_modality=='microscopy' serial number of camera
block_number Integer Recommended Block Number
level String 10 Recommended Treatment level
cut_thickness Float Conditional image_modality=='microscopy' cut thickness
stain String 50 Conditional image_modality=='microscopy' Stain used
stain_details String 200 Recommended Critical details of stainingi method, e.g. source and dilution of antibody for immunohistochemistry.
pipeline_stage Integer Conditional image_modality=='microscopy' Stage of image in processing pipeline. 1::3 1 = original; 2 = intermediate; 3 = final
deconvolved Integer Conditional image_modality=='microscopy' Was deconvolution used to obtain the image? 0::2 0 = no; 1 = yes; 2 = unknown
decon_software String 50 Conditional image_modality=='microscopy' deconvolution software
decon_method String 50 Conditional image_modality=='microscopy' Method of deconvolution.
psf_type String 1 Conditional image_modality=='microscopy' Type of point spread function used for deconvolution E; T E = empirical; T = theoretical
psf_file String 50 Conditional image_modality=='microscopy' Name of empirical point spread function file.
decon_snr Float Conditional image_modality=='microscopy' Signal to noise ratio used for deconvolution
decon_iterations Integer Conditional image_modality=='microscopy' Number of iterations used for deconvolution
micro_temmplate_name String 50 Conditional image_modality=='microscopy' Name of microscope template used for deconvolution
in_stack Integer Conditional image_modality=='microscopy' 2D image is part of 3D stack 0;1 0 = no; 1 = yes
decon_template_name String 50 Conditional image_modality=='microscopy' Name of deconvolution template used for deconvolution.
stack String 100 Conditional image_modality=='microscopy' Name of stack
slices Integer Conditional deconvolved == 1 Number of images in entire stack 2::2000
slice_number Integer Conditional deconvolved == 1 Sequence in stack 1::2000
slice_thickness Float Conditional deconvolved == 1 spacing between image planes, in microns
type_of_microscopy String 3 Conditional psf_type=='E' type of microscopy BF; WFF; CFF; 2P bright field, wide field fluorescensce, confocal fluorescensce, 2-photon
excitation_wavelength Integer Conditional deconvolved == 1 excitation wavelength in nanometers 100::1200
year_mta Integer Recommended Year in study visit_year
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.