#38 · botanical name
Castanea
Ca-4:2#2ChestnutКаштан
- Density
- 560
- Janka hardness
- 540
- EHI
- 0.76
- Durability index
- 4
UMZARScientific database · Data Science · registered IP
International certification ofcommercial timber
A registered database that standardizes commercial timber information through physical and mechanical properties: from species verification to trade, research and compliance workflows.
State registration of a database
Eliseev International Commercial Timber Classifier
Certificate No. 2026620101 confirms the state registration of the database in the Register of Databases. Rights holder and author: Yuri A. Eliseev.
Certificate
№ 2026620101
Application
№ 2026622999
Registered
06.07.2026
Database abstract
The database systematizes and standardizes information about timber species that matter in global trade. It establishes a unified description and coding system based on physical and mechanical properties, so a species can be searched, compared, classified and verified consistently rather than identified informally.
Six areas of application
From international trade to a workshop01
Global and regional timber trade
02
Wood-processing industry
03
EUDR and CITES circulation control
04
Export/import customs procedures
05
Research and education
06
Independent woodworkers and workshops
Functional capabilities
The system standardizes records by physical and mechanical parameters; supports search and filtering; compares and classifies entries; decodes unique species codes; and provides controlled data management.
Data: does not contain personal data
Architecture: any server infrastructure
OS: Linux Ubuntu LTS 24.04
Results panel
architecture · implementation · resultUMZAR classification matrix
25 cells of commercial timber taxonomy
5 × 5 · physical and mechanical properties
Each cell combines species with a defined density and durability profile. The matrix is the basis for a unified code and reproducible verification.
Timber type:BroadleafConiferous
Density, kg/m³ →
Durability →
P1<500
kg/m³
kg/m³
P2500–650
kg/m³
kg/m³
P3650–800
kg/m³
kg/m³
P4800–950
kg/m³
kg/m³
P5>950
kg/m³
kg/m³
D1Non-durable<5 years
D1–P1
D1–P2
D1–P3
D1–P4
D1–P5
D2Slightly durable5–10 years
D2–P1
D2–P2
D2–P3
D2–P4
D2–P5
D3Moderately durable10–15 years
D3–P1
D3–P2
D3–P3
D3–P4
D3–P5
D4Durable15–25 years
D4–P1
D4–P2
D4–P3
D4–P4
D4–P5
D5Highly durable>25 years
D5–P1
D5–P2
D5–P3
D5–P4
D5–P5
D1 Non-durable · <5 yearsD2 Slightly durable · 5–10 yearsD3 Moderately durable · 10–15 yearsD4 Durable · 15–25 yearsD5 Highly durable · >25 years
Examples from the database fragment
#39 · botanical name
Carpinus
Cb-1:3#3HornbeamГраб
- Density
- 740
- Janka hardness
- 1630
- EHI
- 8.40
- Durability index
- 3
#42 · botanical name
Cedrus
Ce-4:2#3CedarКедр
- Density
- 520
- Janka hardness
- 820
- EHI
- 0.85
- Durability index
- 4
#35 · botanical name
Khaya
Kh-3:2#2KhayaКайя
- Density
- 530
- Janka hardness
- 800
- EHI
- 0.86
- Durability index
- 3
Research and engineering
How the classification becomes verifiable
The central difficulty is ambiguity: one trade name may refer to several species, while one species can appear under different names and measurement systems. The work begins with the data model and ends with a record whose features and classification can be checked.
01
Reconcile sources
Match trade and botanical names, align units of measurement and isolate ambiguous records.
Consistent records02
Build the model
Define the taxonomy, required characteristics, record rules and a unique code for each species.
Taxonomy and code03
Compare features
Build a comparable matrix of physical and mechanical properties and inspect the basis for classification.
Feature matrix04
Validate the result
Check completeness and contradictions, trace feature provenance and record changes.
Auditable recordTechnology and research methods
DATA · SCIENCE · R&DENGINEERING
Data and tools
Structured storage and reproducible record processing.
PythonpandasNumPySQLStructured databaseLinux · Ubuntu LTS
DATA SCIENCE
Analysis and classification
Species are compared by consistent properties rather than by trade name alone.
Data analysisNormalisationFeature matrixSpecies comparisonClassificationSearch and filteringCode decoding
DEEPTECH · R&D
Scientific validation
Classification rules and the provenance of each parameter must be auditable.
TaxonomyVerificationScientific validationTraceabilityReproducibilityCompleteness checksChange control
Scientific validation here means checking the source, completeness, consistency and reproducibility of records.
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