Compact dataset of dendrochronological data of primary metric characteristics of tree rings of Asia.

The International Tree Rings Data Bank (ITRDB) is the most comprehensive tree growth database (https://www1.ncdc.noaa.gov/pub/data/paleo/treering).
Shoudong Zhao, et al. (2019, 2018) analyzes the representativity of dendrochronological data (ITRDB) and proposes a corrected database with error indications. One of the bottlenecks for data use (ITRDB) is that the data is loaded as a collection of separate files in the Tucson positional format.
The purpose of our data presentation is to change the data format to JSON and combine the separate files into one. On the example of data for Asia, it is proposed to use the Json format of tree growth data in a single file. When converting data, the programming language R and the library of programs dplR Bunn, A. (2008) were used
The experience of developing the structure of dendroclimatic data in JSON format is described in the works of Kachaev A. (2016, 2017).
The following is a description of the JSON format of dendrochronological data.
{"site identifier": {"cap": {<list of values>}, "rwl": {"wea": [{<value for the tree>},…, {<values for the last tree>}], "wla "[{},…, {}]," Wri ": [{},…, {}]," dma ": [{},…, {}]," dmi ": [{},…, { }], "dea": [{},…, {}], "dla": [{},…, {}], "pla": [{},…, {}]}}}
<list of values> :: = "Coll": "identifier", "Scode": "tree view code", "Years": [<minimum tree year in the collection>, <maximum tree year in the collection>], " Geo ": {" Lat ": <latitude>," Long ": <longitude>," Elev ": <height (in meters), -999 no measurement>}," Comm ":" common name of the tree species " , "Locat": "site names", "Site": "site name", "Invest": "list of researchers' authors"
<value for a tree> :: = "Ntree": "tree identifier", "Years"; [<tree birth year>, <measurement year>], "Series": [<first dimension>,…, <last measurements>]
Further, the decoding of Tree Ring Measurement Type Codes of measurement codes in rwl-files: wea- earlywood width, dea- earlywood density, wla-latewood width, dmi-minimum density, wri-ring width, dla-latewood density, dma-maximum density, pla - latewood percent.

References
Bunn, A. G. (2008). A dendrochronology program library in R (dplR). Dendrochronologia, 26, 115-124. https://doi.org/10.1016/j.dendro.2008.01.002
Kachaev A. V. Model for describing the structure of dendroclimatic data In the col-lection: Regional problems of remote sensing of the Earth Materials of the IV international scientific conference. Siberian Federal University, Institute of Space and Information Technologies. 2017. p. 120-122. (Russia)
Kachaev A. V. NOSQL Approach for Development of Dendroclimatic Data Bank. In the collection: Regional problems of remote sensing of the Earth. Materials of the III International Scientific Conference. 2016. p. 89-91. (Russia)
Shoudong Zhao, et al. (2019). The International Tree-Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity. Journal of Biogeography, 46 (2), 355-368. doi: 10.1111 / jbi.13488

国际树木年轮数据库（ITRDB）乃最为完备的树木生长数据库（https://www1.ncdc.noaa.gov/pub/data/paleo/treering）。赵守栋等学者（2019，2018）对树轮年代学数据（ITRDB）的代表性进行了分析，并提出了带有错误标识的修正数据库。数据（ITRDB）应用的瓶颈之一在于数据以图森位置格式作为单独文件集加载。本数据展示的目的是将数据格式转换为JSON，并将单独的文件合并为一个。以亚洲数据为例，建议将树木生长数据以JSON格式存储于单一文件中。在数据转换过程中，使用了编程语言R及dplR库（Bunn, A.，2008）。关于在JSON格式中构建树木气候数据的结构经验，可参见卡恰耶夫（Kachaev A.，2016，2017）的研究成果。以下是对树轮年代学数据JSON格式的描述。

{"site identifier": {"cap": {<value list>}, "rwl": {"wea": [{<tree value>},…, {<last tree values>}], "wla" [{}…, {}], "Wri": [{},…, {}], "dma": [{},…, {}], "dmi": [{},…, {}], "dea": [{},…, {}], "dla": [{},…, {}], "pla": [{},…, {}]}}}

<value list> :: = "Coll": "identifier", "Scode": "tree view code", "Years": [<minimum tree year in the collection>, <maximum tree year in the collection>], "Geo": {"Lat": <latitude>,"Long": <longitude>,"Elev": <height (in meters), -999 no measurement>}, "Comm": "common name of the tree species" , "Locat": "site names", "Site": "site name", "Invest": "list of researchers' authors"

<tree value> :: = "Ntree": "tree identifier", "Years"; [<tree birth year>, <measurement year>], "Series": [<first dimension>, …, <last measurements>]

此外，对rwl文件中的树木年轮测量类型代码的解码：wea-早材宽度，dea-早材密度，wla-晚材宽度，dmi-最小密度，wri-环宽度，dla-晚材密度，dma-最大密度，pla-晚材百分比。

参考文献
Bunn, A. G. (2008). A dendrochronology program library in R (dplR). Dendrochronologia, 26, 115-124. https://doi.org/10.1016/j.dendro.2008.01.002
Kachaev A. V. Model for describing the structure of dendroclimatic data In the collection: Regional problems of remote sensing of the Earth Materials of the IV international scientific conference. Siberian Federal University, Institute of Space and Information Technologies. 2017. p. 120-122. (Russia)
Kachaev A. V. NOSQL Approach for Development of Dendroclimatic Data Bank. In the collection: Regional problems of remote sensing of the Earth. Materials of the III International Scientific Conference. 2016. p. 89-91. (Russia)
Shoudong Zhao, et al. (2019). The International Tree-Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity. Journal of Biogeography, 46 (2), 355-368. doi: 10.1111 / jbi.13488