Compiled soil N2O emission data from Eastern China forests

<p>We searched the Thomson Reuters Web of Science Core Collection and China National Knowledge Infrastructure (CNKI) theses database for literature published before January 1, 2020, using the terms &ldquo;forest&rdquo; AND &ldquo;greenhouse gas&rdquo; OR &ldquo;N₂O&rdquo; OR &ldquo;nitrous oxide&rdquo; in the titles, abstracts, and keywords; this returned 5,948 records and 590 records, respectively. Considering the different preferences for terminology (e.g., nutrient addition, simulated N deposition), we refined our search manually. The criteria for our refinement were as follows: (a) N addition experiment was conducted in eastern China forests with detailed records of N addition levels; (b) N₂O flux was observed using the static chamber method so that data from different sites were comparable.&nbsp;A total of 58 papers from 38 research sites met our criteria.&nbsp;</p> <p>We also collected the data of soil N₂O emission rates under natural conditions. The data were collected from literature that met the following criteria: (a) N₂O fluxes were observed in eastern China forests using the static chamber method; (b) no manipulated experiments were conducted, and no nitrogen was added except for natural N deposition. There were 42 papers and theses that met these criteria, covering 30 different sites.&nbsp;</p> <p>From the abovementioned papers and theses, the soil N₂O emission rates and the auxiliary information (coordinates, ecoregion type, natural N deposition rate, multi-year mean annual temperature, multi-year mean annual precipitation, and soil texture) were compiled (ds01).</p> <p>To obtain the soil N₂O emission rates of Eastern China forests on grid level (10km&nbsp;&times; 10km), another dataset (ds02) on the environmental factors (ecoregion type, natural N deposition rate, multi-year mean annual temperature, multi-year mean annual precipitation, and soil texture) of each grid was compiled from the spatial datasets, including the Chinese vegetation ecoregion map&nbsp;from the Resources, Environmental Sciences, and Data Center at the Chinese Academy of Sciences (<a href="https://www.resdc.cn/">https://www.resdc.cn/data.aspx?DATAID=133</a>), as well as the soil texture raster data (<a href="https://www.resdc.cn/data.aspx?DATAID=260">https://www.resdc.cn/data.aspx?DATAID=260</a>), mean annual temperature raster data (1995&ndash;2015; <a href="https://www.resdc.cn/data.aspx?DATAID=228">https://www.resdc.cn/data.aspx?DATAID=228</a>), and mean annual precipitation raster data (1995&ndash;2015; <a href="https://www.resdc.cn/data.aspx?DATAID=229">https://www.resdc.cn/data.aspx?DATAID=229</a>). Land use and land cover raster data (2000&ndash;2015) were obtained from the Project on Big Earth Data Science Engineering (<a href="https://data.casearth.cn/sdo/detail/5c19a5650600cf2a3c557aae">https://data.casearth.cn/sdo/detail/5c19a5650600cf2a3c557aae</a>). Finally, annual N deposition rate and multi-year mean N deposition (MAN) data were derived from a N deposition dataset from mainland China previously constructed by our group.&nbsp;</p>