Data on arbuscular mycorrhizal fungal variables and soil properties from coffee plantations in Colombia

Data on soil properties from two coffee plantations located in Chachagüí, Nariño, Colombia. Three lots called Albergue (AL), Lajas (LA) and Mataredonda (MA) were sampled three times in May 2015, September 2015 and February 2016. 17, 19 and 20 sampling sites were established within the lots AL, LA and MA, respectively. Data presented here were used to perform discriminant analyses between the three lots with the contribution of the variables arbuscular mycorrhizal colonization percentage, arbuscular mycorrhizal spore density, easily extractable glomalin, bulk density, organic matter, pH, electrical conductivity, total nitrogen, water soluble phosphorus, extractable phosphorus, cation exchange capacity, available iron, phosphatase activity, ammonia monooxygenase activity, β-Glucosidase activity and clay content to the lot classification. Statistical analyses were carried-out with R (StatR, RWizard platform version 2.0). For conducting the multivariate analyses, a dataset for each sampling time was employed separately. When a row had a “not available” value for any of the 16 variables included, the row was excluded from the dataset, resulting in the three files presented here.本数据集涵盖哥伦比亚纳里尼奥省（Nariño）查查吉（Chachagüí）两处咖啡种植园的土壤属性数据。研究针对编号为Albergue（AL）、Lajas（LA）与Mataredonda（MA）的3个地块，分别于2015年5月、2015年9月及2016年2月开展3次采样；AL、LA、MA三个地块内分别布设17、19及20个采样点。 本次发布的数据可用于开展3个地块间的判别分析，分析纳入的变量包括丛枝菌根定殖率（arbuscular mycorrhizal colonization percentage）、丛枝菌根孢子密度（arbuscular mycorrhizal spore density）、易提取球囊霉素（easily extractable glomalin）、容重（bulk density）、有机质（organic matter）、pH值（pH）、电导率（electrical conductivity）、总氮（total nitrogen）、水溶性磷（water soluble phosphorus）、有效磷（extractable phosphorus）、阳离子交换量（cation exchange capacity）、有效铁（available iron）、磷酸酶活性（phosphatase activity）、氨单加氧酶活性（ammonia monooxygenase activity）、β-葡萄糖苷酶活性（β-Glucosidase activity）及黏粒含量（clay content），上述变量均对地块分类具有贡献。统计分析基于R语言（StatR，RWizard平台2.0版本）完成。开展多变量分析时，分别采用各采样时间对应的数据集独立建模；若某一行数据在纳入的16个变量中存在任意一项缺失值，则将该行从数据集中剔除，最终得到本次发布的3个数据文件。