Mission statement

We are committed to collect, link and determine  qualitative features of plants and animal species, theirs anatomy parts and derivatives into an ultimate synoptical multi-purpose database.

Goals

• Mapping and completing elementary & chemical composition of the mass of species in the Earth
• Recording the proportion of building compounds and their energy density in living and non-living organisms, theirs anatomical parts and derivatives
• Liberating and linking measurements of segregated natural sciences in the form of a common denominator
• Clarifying the fundaments about the chemical composition of Biomass
• Providing the basis data for biomass utilisation, bioengineering and decision making
• Collecting the “dots “about biomass quality, with the idealism that they will connect in the future. Believing what Steve Jobs said about dots “you can't connect the dots looking forward. You can only connect them looking backwards, so you have to trust that the dots will somehow connect in your future.”
• Creating a sort of continuation of the periodic table from the building blocks of organic and inorganic matter in the Earth in the framework of the SI System (Système International d'Unités)
• As a long term goal for the future we are not just planning the entire mapping of the complete chemical composition of every species of the earth, but we have a vision about the evolution of the Biomass feature/proportion data into 3D animations as searchable volume data

Aims and objectives

• Establishing a Biomass metadatabase as a global query of independent databases
• Bring a platform to life for gaining and comparing of qualitative biomass features
• Creating a data cube where wholes are quantitatively described with parts and both wholes and parts are described with dimensions as mass, chemical composition, elementary composition and the belonging energy density
• Collection of the presently available empiric data and the variability of it
• Determining the non-available biomass features
• Enabling conversion between units and measures of sciences within the database
• Developing user friendly search functions for the database
• Aiming not to strive for perfection but to reduce the error limits
• Preserving the amoeba character of the database
• Meanwhile to describe the whole Biomass spectrum presently seems to be impossible (to store app. 10⁴⁸ data is currently hopeless), we are aiming to simplify data with an inbuilt option for anytime extension of the already acquired features. Therefore the structure of the database should be forward-looking and modular

Target groups:

Educational, Governmental, Agricultural, Biomass processing, Renewable energy, Biorefinery, Waste management, Nutrition sectors, Animal and Plant sciences