DOMAIN / DEFENSE
Public military decompression evidence, made inspectable.
Military and naval decompression research has shaped modern practice. OpenDeco traces the public models, tables, trials and outcome data behind those procedures without pretending restricted evidence is public.
What we cover
The defense programme is limited to lawfully public or appropriately licensed material. Classification, access restrictions and missing primary data are recorded as evidence boundaries, not filled with inference.
- Public naval decompression tables and procedures
- NEDU and other publicly released experimental work
- Air, nitrox and mixed-gas decompression
- Deep-stop and ascent-strategy trials
- Oxygen and prebreathe interactions where relevant to decompression
- Repetitive exposure studies
- Model-development lineage
- Publicly releasable operational outcome evidence
Start here
- ResearchRead analyses of public military and naval decompression evidence.
- BenchmarkCompare reproducible military procedures with other documented approaches where the data support it.
- DataBrowse public reports, trial datasets and metadata records.
- MethodsSee how OpenDeco handles restricted, incomplete and historically inconsistent evidence.
What the defense programme asks
- Which military tables and procedures can be reproduced from public primary material without guesswork?
- What did public experimental programmes actually test, and what claims are stronger than the underlying data?
- Where do military procedures differ because of mission constraints rather than decompression theory alone?
- Which influential public trials remain difficult to reanalyse because incident-level or profile-level data are unavailable?
Current work
Published and active OpenDeco work in defense appears here when it has a real project record, source trail and status. Draft ideas without a defined research record do not appear as public projects.
No public defense projects yet.
OpenDeco keeps domain labels visible because evidence can travel across fields more easily than its assumptions do. Cross-domain comparison is useful only when the population, pressure history, endpoint and model context remain explicit.