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This database contains material extraction data for all countries worldwide, for all raw material categories and in annual time series from 1980 to 2013.
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The digits in each serial number can be used to represent information like project, building level, room, material category, and object number.
To apply detailed material categories to mass and carbon data, creating a detailed material flow account (MFA) for Scotland for the first time.
This study applied detailed material categories to mass and carbon data, creating a detailed material flows analysis for Scotland, for the first time.
The data analysis starts on the aggregated level illustrating the overall material footprint time series of the EU followed by decompositions into the four main material categories, into sectors and product groups as well as into source countries for raw materials.
As part of these efforts, the Construction Material Library (CML) consisting of over 3000 construction images and 22 material categories (denoted as classes) were collected and used as a training dataset for the proposed machine learning method.
The blended objects in Dark Matter slip beneath cultural, political, and material categories.
Fig. 1 Overall material footprint of the EU-28, by main material category (top) and main countries of origin of raw materials (bottom), 1995 2011, in billion tonnes.
The horse and person category are the object categories, and the others are material categories.
Figure 3 shows the typical image samples for the metallic, plastic, and concrete material categories from top to bottom.
The distribution of the other two main material categories, i.e., fossil fuels and metal ores, shows a different pattern.
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