Systems and related methods employing directed energy and machine learning operable for enabling or protecting from non-destructive degradation or disruption of electro-optic(s) or sensors
Access & Use Information
Public: This dataset is intended for public access and use.
License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.
Downloads & Resources
Dates
| Metadata Created Date | August 9, 2021 |
|---|---|
| Metadata Updated Date | October 20, 2021 |
Metadata Source
- Data.json Data.json Metadata
Harvested from Federal Laboratory Consortium Data.json
Additional Metadata
| Resource Type | Dataset |
|---|---|
| Metadata Created Date | August 9, 2021 |
| Metadata Updated Date | October 20, 2021 |
| Publisher | Federal Labs |
| Maintainer | |
| Identifier | 220068 |
| Data Last Modified | 2021-04-14 |
| Public Access Level | public |
| Bureau Code | 023:00 |
| 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 |
| Data Quality | True |
| Harvest Object Id | a4b46529-78e2-48af-9606-b574c49d2e82 |
| Harvest Source Id | e2fea7c3-e835-4880-bb0b-ed41d5c6ac85 |
| Harvest Source Title | Federal Laboratory Consortium Data.json |
| Program Code | 023:019 |
| Source Datajson Identifier | True |
| Source Hash | 4c68c5e2743ad8e67415b2813e4ffb4a0f6c440d |
| Source Schema Version | 1.1 |
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