Basic Functions of the Numerical Structure of Scientific Data
<p>Thematic meanings of numerical definitions of subject data in various fields of science lead to manipulation of digital codes of known physical, chemical, biological, genetic and other quantities. In principle, each scientific justification contains, to one degree or another, a quantitative, qualitative characteristic of comparison or content. Thus, the language of natural numbers, like mathematical operations, can be accompanied by any definition in any terminology. In this text, the author does not use well-known terms related to the main scientific areas. In this text, the numbers speak for themselves. Any combination of orders or compositions of complex numerical structures presented in this text has its own logical meaning. Any paradox of numerical combinations is an algorithm of real values of numbers.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0