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Filter Cart
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Data Structures with shared data
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helpcenter.filter-cart

NDA Help Center

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).

When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

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 filter 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

  • What is a Filter Cart?
    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.
  • What do I do after filters are added to the Filter Cart?
    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.
  • Are there limitations on the amount of data a user can download?

    NDA limits the rate at which individual users can transfer data out of Amazon Web Services (AWS) S3 Object storage to non-AWS internet addresses. All users have a download limit of 20 Terabytes. This limit applies to the volume of data an individual user can transfer within a 30-day window. Only downloads to non-AWS internet addresses will be counted against the limit.

  • How does Filter Cart Boolean logic work?

    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.

    When combining other filters with the GUID filter, please note the GUID filter should be added last. Otherwise, preselected data may be lost. For example, a predefined filter from Featured Datasets may select a subset of data available for a subject. When combined with a GUID filter for the same subject, the filter cart will contain all data available from that subject, data structure, and dataset; this may be more data than was selected in the predefined filter for that subject. Again, you should add the GUID Filter as the last filter to your cart. This ensures 'AND' logic between filters and will limit results to the subjects, data structures, and datasets already included in your filter cart.

Glossary

  • Workspace
    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.
  • Filter Cart
    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 adds data using an AND condition. The opportunity to further refine data to determine what will be downloaded or sent to a miNDAR is available on the Data Packaging Page, the next step after the Filter Cart. Subsequent access to data is restricted by User Permission or Privilege; however Filter Cart use is not.
Change History For

Emotion Context Ratings Part 1

40 Shared Subjects

N/A
Clinical Assessments
Emotions
01/30/2019
ecrp101
01/30/2019
View Data Structure
01
Element Name Change Description Before Now When
sex DESCRIPTION DESCRIPTION: Sex of the subject DESCRIPTION: Sex of subject at birth 07/09/2021 10:38 AM
interview_date NOTES, NOTES: Required field NOTES: 01/08/2021 10:21 AM
sex VALUE_RANGE, , NOTES, VALUE_RANGE: M;F NOTES: M = Male; F = Female VALUE_RANGE: M;F; O; NR NOTES: M = Male; F = Female; O=Other; NR = Not reported 02/21/2020 13:02 PM
gender PERMANENTLY ALIASED gender sex 04/22/2019 00:00 AM
sentence_137 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_135 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_136 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_133 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_134 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_131 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_132 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_129 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_130 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_127 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_128 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_125 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_126 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_123 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_124 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_121 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_122 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_120 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
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sentence_119 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_116 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_117 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_114 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_115 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_112 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_113 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
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sentence_111 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_108 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_109 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_106 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_107 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_104 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_105 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_101 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_102 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_103 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_100 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_97 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_98 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_99 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_95 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_96 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:28 PM
sentence_93 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_94 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_91 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_92 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_89 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_90 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_87 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_88 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_85 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_86 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_82 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_83 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_84 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_80 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_81 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_78 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_79 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_76 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_77 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_74 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_75 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_73 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:27 PM
sentence_148 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_146 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_147 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_144 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_145 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_142 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_143 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_140 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_141 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_138 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_139 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:26 PM
sentence_72 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:21 PM
sentence_70 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:16 PM
sentence_69 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:16 PM
sentence_68 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:16 PM
sentence_67 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:16 PM
sentence_66 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:16 PM
sentence_65 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_64 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_63 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_62 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_61 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_60 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_59 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_58 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_57 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:15 PM
sentence_56 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_55 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_54 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_53 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_52 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
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sentence_50 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_49 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_48 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_47 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:14 PM
sentence_46 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_45 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_44 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_43 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_42 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_41 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_40 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_39 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:13 PM
sentence_38 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_37 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_36 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_35 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_34 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_33 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_32 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_31 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:12 PM
sentence_30 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:11 PM
sentence_29 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:11 PM
sentence_28 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:11 PM
sentence_27 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:11 PM
sentence_26 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_25 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_24 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_23 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_22 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_21 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_20 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_19 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_18 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_17 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:10 PM
sentence_16 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_15 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_14 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_13 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_12 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_11 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_10 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
sentence_9 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:09 PM
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sentence_1 ELEMENT_SIZE, ELEMENT_SIZE: 50 ELEMENT_SIZE: 100 01/31/2019 14:07 PM
Data Structure Change History

This page displays a list of all the changes that have been made to this data structure since its original definition. You can view the element name, the attribute that was changed, previous and subsequent values, and the timestamp of the change. Use the search bar to filter the displayed changes.

Please email the The NDA Help Desk with any questions.