Bioscience
Here’s the clean, grounded answer you’re looking for, we’ll anchor it directly in what’s on the NIST Bioscience page you have open nist.gov.
We’re essentially asking:
How deep do we need to go before we can responsibly generate a full RTT/vST‑aligned
BioScience.json?
And the good news is:
We already have enough signal to define the substrate architecture, but not yet enough to populate the full domain map.
Let me break this down clearly and canon‑cleanly.
1. What NIST Bioscience gives us (usable for RTT/vST)#
From the page you’re viewing, NIST defines bioscience through measurement, reference materials, standards, and biofoundry engineering. The page explicitly lists domains like:
- Bioeconomy
- Bioimaging
- Bioinformatics
- Biomanufacturing
- Biomaterials
- Biometrology
- Biosecurity
- Cell measurements
- Synthetic biology
- Gene delivery
- Genome editing
- Genomics
- Glycomics
- Metabolomics
- Microbial measurements
- Proteomics
These are canonical substrate categories — perfect for RTT/vST.
It also describes:
- Living Measurement Systems Foundry
- Design–Build–Test–Learn cycles
- Reference materials (DNA, proteins, metabolites)
- Quantitative measurement assurance
- Standards development
All of this is substrate‑level infrastructure, not organism‑level biology.
This means:
We have enough to define the top‑level substrate architecture for BioScience.json.
2. What we don’t have yet#
To build a full BioScience.json (like the Physics or Periodic Table artifacts), we would need:
A. Biological substrate layers#
- Molecular substrate
- Cellular substrate
- Tissue substrate
- Organism substrate
- Ecological substrate
B. Regimes within each substrate#
(e.g., transcription, translation, signaling, metabolism, replication, etc.)
C. Resonance behaviors#
(e.g., oscillatory gene circuits, metabolic flux, protein folding landscapes)
D. Canonical entities#
- DNA, RNA, proteins
- Pathways
- Cell types
- Organelles
- Biomaterials
- Measurement standards
E. Cross‑substrate coupling#
- Genotype ↔ phenotype
- Metabolism ↔ signaling
- Cell state ↔ environment
F. RTT/vST phase alignment#
Mapping biology into phases I–VI.
Right now, the NIST page gives us measurement‑oriented domains, not the full biological ontology.
So we can build:
- The skeleton
- The substrate map
- The domain registry
But not yet the full element‑by‑element expansion like we did for the Periodic Table.
3. What we can build right now#
We can absolutely generate:
BioScience_Structure_RTTvST.json#
A top‑level schema defining:
- Substrates
- Regimes
- Measurement domains
- Standards
- Biofoundry cycles
- Reference materials
- NIST‑aligned categories
This would be analogous to:
Standard_Model_Wheel.json- The structure of the periodic table
- The framework of Physics 2025
But not yet the full biological element expansion (e.g., every cell type, every pathway, every molecule).
4. What you need to provide (to go deeper)#
To generate a full BioScience.json (the biology equivalent of the Periodic Table or Standard Model), I need:
A. The scope#
Do you want:
- Molecular biology only?
- Whole‑cell modeling?
- Organismal biology?
- Ecology?
- All of the above?
B. The granularity#
Should we include:
- Every amino acid?
- Every metabolic pathway?
- Every organelle?
- Every cell type?
C. The canonical entities#
Should the schema include:
- DNA/RNA/protein as primitives?
- Pathways as objects?
- Cell types as classes?
- Biomaterials as substrates?
D. The RTT/vST alignment style#
Do you want:
- A wheel (like the Standard Model)?
- A radial shell (like the periodic table)?
- A layered substrate stack (like RTT cosmology)?
Once I have these four decisions, I can generate:
BioScience.json (full expansion)#
with:
- substrates
- regimes
- resonance behaviors
- canonical biological entities
- cross‑substrate coupling
- phase alignment
- domain‑specific JSON entries
Just like we did for the 118‑element periodic table.
5. Direct answer to your question#
You don’t need to go deeper into NIST.
You need to go deeper into your intended scope of biology.
NIST gives us the measurement substrate, not the biological ontology.
To build the full artifact, I need your decision on:
What level of biology do you want BioScience.json to represent?#
If you tell me that, I can build the entire RTT/vST‑aligned bioscience schema.
Nawder — perfect.
Your four answers give me exactly the signal I needed to lock the architecture.
Let me restate your choices cleanly:
A. Scope:#
All biological scales — molecular → cellular → tissue → organism → ecological.
B. Granularity:#
Everything — full canonical expansion, not a sampling.
C. Canonical Entities:#
- DNA/RNA/Protein as primitives → Yes
- Pathways as objects → No
- Cell types as classes → No
- Biomaterials as substrates → Yes
This is a very interesting combination — it means we’re building a substrate‑first bioscience ontology, not a classical “biology textbook” ontology.
D. Structure:#
Layered — RTT/vST substrate stack, not radial or sector‑based.
This is the same architectural posture as RTT cosmology, the Standard Model Wheel’s substrate logic, and your Periodic Table reorganization.
So what does this mean for BioScience.json?#
It means we now have enough information to build:
BioScience.json (Full Canonical Substrate Stack)#
A complete, RTT/vST‑aligned bioscience ontology with:
1. Substrate Layers#
- Molecular substrate
- Macromolecular substrate
- Cellular substrate
- Tissue substrate
- Organism substrate
- Ecological substrate
- Bioengineering substrate
- Biometrology substrate
- Biosecurity substrate
- Bioeconomy substrate
2. Regimes inside each substrate#
Examples:
Molecular substrate
- atoms
- small molecules
- metabolites
- lipids
- nucleotides
- amino acids
Macromolecular substrate
- DNA
- RNA
- proteins
- polysaccharides
- membranes
Cellular substrate
- organelles
- cytoskeleton
- signaling networks
- metabolic networks
- cell states
Tissue substrate
- epithelial
- connective
- muscle
- nervous
Organism substrate
- systems
- organs
- developmental stages
Ecological substrate
- populations
- communities
- biomes
- nutrient cycles
Bioengineering substrate
- synthetic biology
- genome editing
- gene delivery
- biomanufacturing
Biometrology substrate
- measurement standards
- reference materials
- calibration systems
Biosecurity substrate
- containment levels
- threat detection
- genomic surveillance
Bioeconomy substrate
- production systems
- supply chains
- biofoundries
3. Resonance Behaviors#
- folding
- binding
- catalysis
- oscillation
- homeostasis
- feedback
- quorum sensing
- ecological succession
4. Canonical Entities#
Because of your choices, the canonical entities will be:
- Molecular primitives (atoms, ions, metabolites)
- Macromolecular primitives (DNA, RNA, proteins, lipids, polysaccharides)
- Cellular primitives (organelles, membranes, cytoskeleton)
- Biomaterial primitives (scaffolds, hydrogels, matrices, engineered tissues)
But not:
- every pathway
- every cell type
This keeps the ontology substrate‑first, not catalog‑first.
5. Cross‑substrate Coupling#
We will encode:
- genotype ↔ phenotype
- metabolism ↔ signaling
- cell ↔ tissue
- organism ↔ environment
- measurement ↔ standard
- engineering ↔ biology
6. Phase Alignment#
Biology maps beautifully into RTT phases:
- Phase I: chemical primitives
- Phase II: macromolecular assembly
- Phase III: cellular emergence
- Phase IV: multicellular organization
- Phase V: organismal systems
- Phase VI: ecological and evolutionary dynamics
Conclusion: We now have enough to generate BioScience.json#
Your four decisions give me the exact constraints needed to build:
BioScience.json (full canonical RTT/vST bioscience ontology)#
- layered
- substrate‑first
- regime‑rich
- resonance‑aware
- canonical primitives only
- full biological scale
- NIST‑aligned measurement substrate
- bioengineering + biosecurity + bioeconomy included
I can generate it in the next message — a full, repo‑ready JSON artifact parallel to:
Periodic_Table_RTTvST.jsonStandard_Model_RTTvST.jsonPhysics_RefTables_2025_RTTvST.json
If you’re ready, I’ll produce:
BioScience.json#
(full canonical expansion)
Just say:
“Generate BioScience.json”
{
"artifact_id": "BioScience",
"version": "1.0.0",
"type": "rtt_vst_bioscience_ontology",
"provenance": {
"source": "Canonical bioscience domains (molecular → ecological) with NIST-aligned measurement and engineering substrates.",
"notes": "Substrate-first, layered RTT/vST ontology. Canonical primitives only: DNA/RNA/protein and biomaterials as explicit entities; pathways and cell types are emergent compositions, not first-class primitives."
},
"substrates": {
"molecular": {
"description": "Atomic and small-molecule substrate: the chemical primitives from which biological macromolecules are built.",
"regimes": {
"atomic_primitives": {
"description": "Elements and ions relevant to biological systems.",
"entities": [
"H","C","N","O","P","S",
"Na","K","Mg","Ca","Cl",
"Fe","Zn","Cu","Mn","Co","Mo","Se","I"
]
},
"small_molecules": {
"description": "Low-molecular-weight compounds participating in metabolism and signaling.",
"entities": [
"water",
"oxygen_gas",
"carbon_dioxide",
"ammonia",
"urea",
"nitric_oxide",
"hydrogen_sulfide"
]
},
"metabolites": {
"description": "Core metabolic intermediates and energy carriers.",
"entities": [
"glucose",
"pyruvate",
"lactate",
"acetyl_CoA",
"ATP",
"ADP",
"AMP",
"NADH",
"NAD+",
"NADPH",
"NADP+",
"FADH2",
"FAD",
"GTP"
]
},
"lipids_small": {
"description": "Small lipid species and building blocks.",
"entities": [
"fatty_acid_saturated",
"fatty_acid_unsaturated",
"cholesterol",
"glycerol"
]
}
}
},
"macromolecular": {
"description": "DNA, RNA, proteins, polysaccharides, and membranes as structured biological macromolecules.",
"regimes": {
"nucleic_acids": {
"description": "DNA and RNA as information-bearing polymers.",
"entities": [
"DNA_double_stranded",
"DNA_single_stranded",
"mRNA",
"tRNA",
"rRNA",
"regulatory_RNA"
],
"monomers": [
"dATP","dTTP","dGTP","dCTP",
"ATP","UTP","GTP","CTP"
]
},
"proteins": {
"description": "Polypeptides and protein complexes as functional macromolecules.",
"entities": [
"enzyme_protein",
"structural_protein",
"signaling_protein",
"transcription_factor",
"membrane_protein",
"motor_protein",
"chaperone_protein"
],
"monomers": [
"alanine","arginine","asparagine","aspartate","cysteine",
"glutamate","glutamine","glycine","histidine","isoleucine",
"leucine","lysine","methionine","phenylalanine","proline",
"serine","threonine","tryptophan","tyrosine","valine"
]
},
"polysaccharides": {
"description": "Carbohydrate polymers used for structure and storage.",
"entities": [
"cellulose",
"starch",
"glycogen",
"chitin",
"glycosaminoglycan_generic"
],
"monomers": [
"glucose",
"fructose",
"galactose",
"N_acetylglucosamine"
]
},
"lipid_assemblies": {
"description": "Lipid-based macromolecular structures.",
"entities": [
"phospholipid_bilayer",
"lipid_monolayer",
"lipoprotein_particle",
"lipid_droplet"
]
},
"membranes": {
"description": "Composite macromolecular structures defining compartments.",
"entities": [
"plasma_membrane",
"organelle_membrane_generic",
"nuclear_envelope",
"mitochondrial_inner_membrane",
"mitochondrial_outer_membrane"
]
}
}
},
"cellular": {
"description": "Cells as bounded, self-maintaining systems built from macromolecular substrates.",
"regimes": {
"organelles": {
"description": "Subcellular compartments with specialized functions.",
"entities": [
"nucleus",
"nucleolus",
"mitochondrion",
"chloroplast",
"endoplasmic_reticulum_rough",
"endoplasmic_reticulum_smooth",
"golgi_apparatus",
"lysosome",
"peroxisome",
"endosome",
"vacuole"
]
},
"cytoskeleton": {
"description": "Structural and motility framework.",
"entities": [
"microtubule",
"microfilament_actin",
"intermediate_filament",
"centrosome",
"cilia",
"flagellum"
]
},
"cell_boundary": {
"description": "Structures defining the cell’s interface with its environment.",
"entities": [
"plasma_membrane_domain",
"cell_wall_bacterial",
"cell_wall_plant",
"cell_wall_fungal",
"glycocalyx"
]
},
"cell_state_regimes": {
"description": "Abstract regimes describing cell-level behavior (not specific cell types).",
"entities": [
"proliferative_state",
"quiescent_state",
"differentiating_state",
"apoptotic_state",
"necrotic_state",
"senescent_state",
"stem_like_state"
]
},
"cellular_networks": {
"description": "Functional networks within cells.",
"entities": [
"transcriptional_network_generic",
"signaling_network_generic",
"metabolic_network_generic",
"cell_cycle_control_network",
"stress_response_network"
]
}
}
},
"tissue": {
"description": "Multicellular assemblies with coordinated structure and function.",
"regimes": {
"tissue_classes": {
"description": "Canonical tissue-level categories (not specific organs).",
"entities": [
"epithelial_tissue",
"connective_tissue",
"muscle_tissue",
"nervous_tissue",
"vascular_tissue_plant",
"ground_tissue_plant",
"dermal_tissue_plant"
]
},
"tissue_interfaces": {
"description": "Boundaries and exchange surfaces between tissues.",
"entities": [
"basement_membrane",
"blood_tissue_barrier_generic",
"air_tissue_interface_generic",
"root_soil_interface_generic"
]
},
"tissue_states": {
"description": "Abstract regimes describing tissue-level behavior.",
"entities": [
"homeostatic_tissue_state",
"regenerating_tissue_state",
"fibrotic_tissue_state",
"inflamed_tissue_state",
"tumor_like_tissue_state"
]
}
}
},
"organism": {
"description": "Whole-organism level organization and systems.",
"regimes": {
"organ_systems": {
"description": "Canonical organ systems (abstracted across species where possible).",
"entities": [
"circulatory_system",
"respiratory_system",
"digestive_system",
"nervous_system",
"endocrine_system",
"immune_system",
"musculoskeletal_system",
"reproductive_system",
"integumentary_system",
"plant_transport_system",
"plant_photosynthetic_system"
]
},
"developmental_regimes": {
"description": "Abstract developmental phases.",
"entities": [
"embryonic_development_phase",
"larval_or_juvenile_phase",
"adult_phase",
"senescent_phase",
"dormant_phase"
]
},
"physiological_states": {
"description": "Organism-level state regimes.",
"entities": [
"homeostatic_state",
"stress_response_state",
"disease_state_generic",
"adaptive_response_state",
"starvation_state",
"fever_state"
]
}
}
},
"ecological": {
"description": "Interactions among organisms and their environments across scales.",
"regimes": {
"population_level": {
"description": "Single-species group dynamics.",
"entities": [
"population_growth_regime",
"population_decline_regime",
"population_equilibrium_regime"
]
},
"community_level": {
"description": "Multi-species interactions.",
"entities": [
"predator_prey_regime",
"mutualism_regime",
"competition_regime",
"commensalism_regime",
"parasitism_regime"
]
},
"ecosystem_level": {
"description": "Energy and matter flow across communities and environment.",
"entities": [
"primary_production_regime",
"decomposition_regime",
"nutrient_cycle_regime",
"disturbance_regime",
"succession_regime"
]
},
"biosphere_level": {
"description": "Planet-scale biological and geochemical coupling.",
"entities": [
"carbon_cycle_regime",
"nitrogen_cycle_regime",
"water_cycle_regime",
"oxygen_cycle_regime"
]
}
}
},
"bioengineering": {
"description": "Intentional design and modification of biological systems.",
"regimes": {
"synthetic_biology": {
"description": "Design–build–test–learn cycles and engineered constructs.",
"entities": [
"genetic_circuit_generic",
"synthetic_promoter_generic",
"synthetic_operon_generic",
"engineered_metabolic_module",
"minimal_genome_construct"
]
},
"genome_editing": {
"description": "Targeted modification of nucleic acids.",
"entities": [
"CRISPR_Cas_system_generic",
"TALEN_system_generic",
"zinc_finger_nuclease_generic",
"base_editor_generic",
"prime_editor_generic"
]
},
"gene_delivery": {
"description": "Mechanisms for introducing genetic material into cells.",
"entities": [
"viral_vector_generic",
"nonviral_vector_lipid_nanoparticle",
"nonviral_vector_polymer",
"physical_delivery_electroporation",
"physical_delivery_microinjection"
]
},
"biomanufacturing": {
"description": "Production of biological products at scale.",
"entities": [
"cell_factory_generic",
"bioreactor_generic",
"downstream_processing_pipeline",
"continuous_bioprocess_regime",
"batch_bioprocess_regime"
]
}
}
},
"biometrology": {
"description": "Measurement science for biology: standards, reference materials, and calibration.",
"regimes": {
"reference_materials": {
"description": "Standardized biological materials for calibration and validation.",
"entities": [
"DNA_reference_material",
"RNA_reference_material",
"protein_reference_material",
"metabolite_reference_material",
"cell_line_reference_material",
"microbial_standard_strain"
]
},
"measurement_methods": {
"description": "Canonical measurement modalities.",
"entities": [
"flow_cytometry",
"mass_spectrometry",
"chromatography_generic",
"microscopy_optical",
"microscopy_electron",
"microscopy_fluorescence",
"sequencing_short_read",
"sequencing_long_read",
"qPCR",
"digital_PCR",
"biosensor_generic"
]
},
"measurement_domains": {
"description": "Omics and structural measurement domains.",
"entities": [
"genomics",
"transcriptomics",
"proteomics",
"metabolomics",
"glycomics",
"epigenomics",
"microbiomics",
"bioimaging"
]
},
"assurance_frameworks": {
"description": "Structures for ensuring measurement quality and comparability.",
"entities": [
"calibration_curve_regime",
"limit_of_detection_regime",
"limit_of_quantitation_regime",
"interlaboratory_comparison_regime",
"reference_method_regime"
]
}
}
},
"biosecurity": {
"description": "Risk, containment, and surveillance regimes for biological systems.",
"regimes": {
"containment_levels": {
"description": "Abstracted biosafety levels.",
"entities": [
"containment_level_1",
"containment_level_2",
"containment_level_3",
"containment_level_4"
]
},
"threat_detection": {
"description": "Detection of harmful biological agents or events.",
"entities": [
"pathogen_detection_regime",
"toxin_detection_regime",
"environmental_biosurveillance_regime",
"clinical_biosurveillance_regime"
]
},
"genomic_surveillance": {
"description": "Monitoring genetic variation and emergence.",
"entities": [
"variant_tracking_regime",
"outbreak_genomic_analysis_regime",
"wastewater_surveillance_regime"
]
},
"governance_frameworks": {
"description": "Abstract governance and oversight structures.",
"entities": [
"dual_use_assessment_regime",
"research_oversight_regime",
"access_control_regime"
]
}
}
},
"bioeconomy": {
"description": "Integration of biological systems into economic and industrial structures.",
"regimes": {
"production_systems": {
"description": "Biology-based production architectures.",
"entities": [
"industrial_fermentation_system",
"cell_free_biomanufacturing_system",
"plant_based_production_system",
"microbial_consorita_production_system"
]
},
"supply_chains": {
"description": "Flow of biological materials and products.",
"entities": [
"biomass_supply_chain",
"pharmaceutical_supply_chain",
"diagnostic_supply_chain",
"vaccine_supply_chain"
]
},
"biofoundries": {
"description": "Automated, standardized facilities for biological design–build–test–learn cycles.",
"entities": [
"design_build_test_learn_pipeline",
"automated_biofoundry_platform",
"standardized_biological_part_library"
]
},
"sustainability_regimes": {
"description": "Coupling of bioeconomy to environmental and social constraints.",
"entities": [
"circular_bioeconomy_regime",
"low_carbon_bioeconomy_regime",
"resource_efficiency_regime"
]
}
}
}
},
"canonical_entities": {
"molecular_primitives": [
"H","C","N","O","P","S",
"Na","K","Mg","Ca","Cl",
"Fe","Zn","Cu","Mn","Co","Mo","Se","I"
],
"macromolecular_primitives": [
"DNA_double_stranded",
"DNA_single_stranded",
"mRNA",
"tRNA",
"rRNA",
"regulatory_RNA",
"enzyme_protein",
"structural_protein",
"signaling_protein",
"transcription_factor",
"membrane_protein",
"motor_protein",
"chaperone_protein",
"cellulose",
"starch",
"glycogen",
"chitin",
"phospholipid_bilayer",
"plasma_membrane"
],
"biomaterial_primitives": [
"hydrogel_scaffold_generic",
"porous_scaffold_generic",
"decellularized_matrix_generic",
"engineered_tissue_construct_generic",
"bioink_generic"
]
},
"resonance_behaviors": {
"molecular": [
"covalent_bonding",
"noncovalent_interactions",
"hydrogen_bonding",
"hydrophobic_effect",
"acid_base_equilibrium",
"redox_reaction"
],
"macromolecular": [
"protein_folding",
"protein_unfolding",
"nucleic_acid_hybridization",
"complex_assembly",
"allosteric_regulation"
],
"cellular": [
"signal_transduction",
"gene_expression_dynamics",
"metabolic_flux",
"cell_cycle_oscillation",
"apoptotic_cascade",
"autophagy_regime"
],
"tissue": [
"morphogenesis",
"wound_healing",
"angiogenesis",
"fibrosis_progression"
],
"organism": [
"homeostatic_regulation",
"stress_response",
"immune_response",
"circadian_rhythm"
],
"ecological": [
"population_oscillation",
"trophic_cascade",
"successional_dynamics",
"resilience_and_regime_shift"
],
"bioengineering": [
"design_build_test_learn_cycle",
"directed_evolution_regime",
"adaptive_lab_evolution_regime"
],
"biometrology": [
"calibration_response",
"signal_to_noise_regime",
"dynamic_range_regime"
]
},
"cross_substrate_coupling": {
"genotype_phenotype": {
"description": "Coupling from nucleic acid sequence to observable traits.",
"links": [
"DNA_double_stranded -> gene_expression_dynamics",
"mRNA -> protein_folding",
"protein_folding -> cellular_networks",
"cellular_networks -> tissue_states",
"tissue_states -> physiological_states"
]
},
"metabolism_signaling": {
"description": "Coupling between metabolic state and signaling pathways.",
"links": [
"metabolites -> metabolic_network_generic",
"metabolic_network_generic -> signal_transduction",
"signal_transduction -> gene_expression_dynamics"
]
},
"cell_tissue": {
"description": "Coupling between cell-level behavior and tissue-level organization.",
"links": [
"cell_state_regimes -> tissue_states",
"cellular_networks -> tissue_classes"
]
},
"organism_environment": {
"description": "Coupling between organismal physiology and ecological context.",
"links": [
"physiological_states -> population_level",
"ecosystem_level -> physiological_states"
]
},
"measurement_biology": {
"description": "Coupling between biological systems and measurement frameworks.",
"links": [
"reference_materials -> measurement_methods",
"measurement_methods -> measurement_domains",
"measurement_domains -> assurance_frameworks"
]
},
"engineering_biology": {
"description": "Coupling between engineered constructs and native biological substrates.",
"links": [
"genome_editing -> nucleic_acids",
"synthetic_biology -> cellular_networks",
"biomanufacturing -> production_systems"
]
}
},
"phase_alignment": {
"I": {
"description": "Chemical primitives and basic interactions.",
"includes": [
"molecular.atomic_primitives",
"molecular.small_molecules",
"molecular.metabolites",
"resonance_behaviors.molecular"
]
},
"II": {
"description": "Macromolecular assembly and basic structure.",
"includes": [
"macromolecular.nucleic_acids",
"macromolecular.proteins",
"macromolecular.polysaccharides",
"macromolecular.lipid_assemblies",
"resonance_behaviors.macromolecular"
]
},
"III": {
"description": "Cellular emergence and regulation.",
"includes": [
"cellular.organelles",
"cellular.cytoskeleton",
"cellular.cell_boundary",
"cellular.cellular_networks",
"resonance_behaviors.cellular"
]
},
"IV": {
"description": "Multicellular organization and tissue-level dynamics.",
"includes": [
"tissue.tissue_classes",
"tissue.tissue_interfaces",
"tissue.tissue_states",
"resonance_behaviors.tissue"
]
},
"V": {
"description": "Organismal systems and physiology.",
"includes": [
"organism.organ_systems",
"organism.developmental_regimes",
"organism.physiological_states",
"resonance_behaviors.organism"
]
},
"VI": {
"description": "Ecological and evolutionary dynamics, plus engineered and economic overlays.",
"includes": [
"ecological.population_level",
"ecological.community_level",
"ecological.ecosystem_level",
"ecological.biosphere_level",
"bioengineering",
"biometrology",
"biosecurity",
"bioeconomy",
"resonance_behaviors.ecological",
"resonance_behaviors.bioengineering",
"resonance_behaviors.biometrology"
]
}
},
"semantic_layers": {
"resonance_tags": [
"substrate_first",
"multi_scale",
"measurement_coupled",
"engineering_coupled",
"biosecurity_aware",
"bioeconomy_aware"
],
"notes": "This ontology is intentionally substrate-layered and regime-based. Specific pathways, cell types, and species are treated as compositions and instances built on these primitives, not as first-class schema entities."
}
}