木材化学成分数据库

本数据记录了木材化学成分数据库中的序号、木材中文名、木材拉丁名、灰分含量、冷水抽提物含量、热水抽提物含量、1%NaOH抽提物含量、苯-乙醇抽提物含量、克-贝纤维素含量、克-贝纤维素中α-纤维素含量、木素含量、多缩戊糖含量、木（竹）材中α-纤维素含量、产地等记录。建国50年来，我国的木材科学研究，尤其是天然林木材性质研究方面，取得了丰硕的成果。中国林业科学研究院木材工业研究所和其它科研院所等单位现已完成900多种树种木材解剖性质的研究、近300个树种木材物理力学性质的研究、近300个树种木材生物学性质的研究和100多个树种木材化学性质的研究。此外，还完成了一些树种木材的电学性质、热学性质、声学性质、流体关系等木材物理学的研究，切削性质、耐磨性质、钉着性质、流变性质等木材力学的研究，超微结构、木材计算机辅助识别等木材解剖学研究，以及木材抽出成分化学性质和木材无损检测研究。以上数据为木材的科学研究和合理利用提供了理论依据。

This dataset records the serial number, Chinese common name, Latin scientific name, ash content, cold water extractives content, hot water extractives content, 1% NaOH extractives content, benzene-ethanol extractives content, Kürschner-Hoffmann cellulose content, alpha-cellulose content in Kürschner-Hoffmann cellulose, lignin content, pentosan polysaccharide content, alpha-cellulose content in wood (bamboo), origin and other related entries in the wood chemical composition database. Over the 50 years since the founding of the People's Republic of China, wood science research in China, especially studies on the properties of natural forest woods, has yielded fruitful results. The Research Institute of Wood Industry, Chinese Academy of Forestry, and other domestic research institutions have completed research on the anatomical properties of over 900 tree species, the physical and mechanical properties of nearly 300 tree species, the biological properties of nearly 300 tree species, and the chemical properties of more than 100 tree species. In addition, research has been conducted on wood physics-related properties including electrical, thermal, acoustic, and fluid-related properties of certain tree species; wood mechanics properties including cutting, wear resistance, nail-holding, and rheological properties; wood anatomy research including ultrastructure and computer-aided wood identification; as well as studies on the chemical properties of wood extractives and non-destructive testing of wood. The above dataset provides a theoretical basis for scientific research and rational utilization of wood.

搜集汇总

背景与挑战

背景概述

该数据集是一个木材化学成分数据库，记录了77种木材的13项化学性质指标，如灰分、抽提物、纤维素和木素含量等，基于中国长期木材科学研究成果。数据集属于国家林业和草原科学数据中心的木材性质数据库，数据质量可靠，错误率低，适用于木材科学和植物学领域的研究与应用。