Spatial and life history data - Spatial scaling of population synchrony in marine fish depends on their life history

The data is divided three:SpatialData.rda :The Rdata file contains indices of density of several marine fish species across the Barents Sea, which were derived from data collected by the Norwegian Institute for Marine Research and the Polar Research Institute of Marine Fisheries and Oceanography from January to March, every year from 1985 to 2016.The data is structured as following: "Data" is divided into each of the species .In order: North East Atlantic (NEA) cod (Gadus morhua), NEA haddock (Melanogramus aeglefinus), NEA saithe (Pollachius virens), beaked redfish (Sebastes mentella), golden redfish (Sebastes marinus), blue whiting (Micromesistius poutassou), Barents Sea capelin (Mallotus villosus) and Norwegian spring-spawning herring (Clupea harengus). "Data[[<>]]" is further divided into the ten resolution the density indices were grouped by. The resolution (i.e. size in km2 of each of the hexagonal cell of the grid used to spatially divide the Barents Sea), are given by the name of the sublist, namely 2500, 4900, 9100, 12100, 16900, 22500, 28900, 36100, 44100, 52900. Data[[<>]][[<>]] is divided into:"dmatrix" --> a matrix with the densities of the given species of each cell and year."LLmat" --> a matrix with coordinates of the centres of each of the cells. For more details on the data sampling design see references linked______________________________________________Dynlife2.Rdata : This rdata file contains information on 5 life history variables for 9 species: The 9 spesies appear in the following order: cod, haddock, saithe, beaked redfish, golden redfish, Greenland halibut, blue withing, capelin, herring The 7 variables have the following order: E(M), Var (M), CV(R/S), CV(lambda), T, mean (R/S), mean (lambda).The methodology used to calculate these variables can be found in Bjørkvoll et al. 2012______________________________________________Scaling_LifeHist.N.boot.r & Scaling_LifeHist.r.boot.r :R scripts used to test the relationship between life history and spatial synchrony该数据集分为三个部分： 1. SpatialData.rda：该R数据文件包含巴伦支海多种海洋鱼类的种群密度指数，数据源自挪威海洋研究所与极地海洋渔业与海洋学研究所于1985年至2016年每年1-3月采集的观测资料。数据结构如下："Data"按物种分类，依次为：东北大西洋鳕鱼（Gadus morhua）、东北大西洋黑线鳕（Melanogrammus aeglefinus）、东北大西洋绿青鳕（Pollachius virens）、棘红鲉（Sebastes mentella）、金红鲉（Sebastes marinus）、蓝鳕（Micromesistius poutassou）、巴伦支海毛鳞鱼（Mallotus villosus）以及挪威春季产卵鲱鱼（Clupea harengus）。"Data[[<>]]"进一步按密度指数分组所用的空间分辨率划分，共10种分辨率，以列表子项的名称标注，即用于空间划分巴伦支海的六边形格网单元格面积（单位：km²），依次为2500、4900、9100、12100、16900、22500、28900、36100、44100、52900。Data[[<>]][[<>]]包含以下两个子模块："dmatrix"——存储各单元格对应物种逐年密度的矩阵；"LLmat"——存储各单元格中心坐标的矩阵。如需了解数据采样设计的更多细节，请参阅所附参考文献。 2. Dynlife2.Rdata：该R数据文件包含9个物种的5项生活史变量信息，物种顺序依次为：鳕鱼、黑线鳕、绿青鳕、棘红鲉、金红鲉、格陵兰庸鲽、蓝鳕、毛鳞鱼、鲱鱼。7项变量的顺序依次为：E(M)、Var(M)、CV(R/S)、CV(λ)、T、mean(R/S)、mean(λ)。上述变量的计算方法可参见Bjørkvoll等人2012年的研究成果。 3. Scaling_LifeHist.N.boot.r与Scaling_LifeHist.r.boot.r：这两个R脚本用于检验生活史特征与空间同步性之间的关联关系。