Aged Body Armor- Linking Theory to Practice by Predicting Ballistic Performance from Mechanical Properties
Access & Use Information
Downloads & Resources
-
Comma Separated Values FileCSV
Fieldaged_tensile_results.csv
-
Text FileTEXT
-
Comma Separated Values FileCSV
Labaged_tensile_results.csv
-
Text FileTEXT
-
Comma Separated Values FileCSV
Labaged_V50_results.csv
-
Text FileTEXT
-
Comma Separated Values FileCSV
Labaging_Conditions.csv
-
Text FileTEXT
-
Text FileTEXT
V50_data_readme.txt
-
Text FileTEXT
-
DOI Access for Aged Body Armor- Linking Theory...
-
Landing PageLanding Page
Dates
| Metadata Created Date | November 12, 2020 |
|---|---|
| Metadata Updated Date | September 30, 2025 |
Metadata Source
- Data.json Data.json Metadata
Harvested from Commerce Non Spatial Data.json Harvest Source
Additional Metadata
| Resource Type | Dataset |
|---|---|
| Metadata Created Date | November 12, 2020 |
| Metadata Updated Date | September 30, 2025 |
| Publisher | National Institute of Standards and Technology |
| Maintainer | |
| Identifier | ark:/88434/mds2-2179 |
| Data First Published | 2020-02-18 |
| Language | en |
| Data Last Modified | 2012-05-31 00:00:00 |
| Category | Materials:Polymers, Materials:Materials characterization |
| Public Access Level | public |
| Bureau Code | 006:55 |
| Metadata Context | https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld |
| Schema Version | https://project-open-data.cio.gov/v1.1/schema |
| Catalog Describedby | https://project-open-data.cio.gov/v1.1/schema/catalog.json |
| Harvest Object Id | 0bf688f5-02bc-4f2c-bf46-fd3d829041b7 |
| Harvest Source Id | bce99b55-29c1-47be-b214-b8e71e9180b1 |
| Harvest Source Title | Commerce Non Spatial Data.json Harvest Source |
| Homepage URL | https://data.nist.gov/od/id/mds2-2179 |
| License | https://www.nist.gov/open/license |
| Program Code | 006:045 |
| Source Datajson Identifier | True |
| Source Hash | 1e00b92de41c4841200c7828a36b45d365c74c1316350848314cebc0a040e9ee |
| Source Schema Version | 1.1 |
Didn't find what you're looking for? Suggest a dataset here.