Seasonal population patterns of a new scale pest, Acanothococcus lagerstroemiae Kuwana, from 2015 - 2017 dataset

This dataset is from collecting crapemyrtle bark scale (Acanthococcus lagerstroemiae) crawlers from at least three trees for each of seven locations over three years (2015, 2016, and 2017). Full publication: https://meridian.allenpress.com/jeh/article/38/1/8/430984/Seasonal-Population-Patterns-of-a-New-Scale-Pest

The purpose of this study was to understand the seasonal population dynamics of the scale populations. More specifically, the two main objectives of this data were: 1) determine seasonal crawler activity of CMBS crawlers on crapemyrtles and 2) determine whether a degree-day model can provide a more accurate estimate of the first crawler peak compared to a calendar date

In brief, double-sided sticky tape (1.905cm wide) was wrapped around several branches (5 or more) per tree and collected on a regular basis (usually weekly). A new piece of tape replaced it each time. Tape was inspected under a dissecting microscope to count the number of crawlers.

In the data file "CMBS_Obj1_mega.xls", each tab represents data collected from separate locations.
"Date Set" - Date the tape was set on the tree
"Date Collected" - Date the tape was removed from the tree
"# of Days" - Calculation; Date collected - Date set.
"Tree Number" - Number to identify a specific tree within a location
"Branch ID" - Column to represent separate subsamples (i.e. branches) within a tree.
"Length (cm)" - Length of the double-sided sticky tape for that particular branch. This corresponds to the diameter of the branch.
"Crawlers" - number of crawlers counted on a piece. As numbers approached over several 100, investigators often estimated the number of crawlers by subsampling sections of the tape (on graph paper) and estimating the number of crawlers on the whole tape.
"Crawlers / sq cm" - Calculation; Number of crawlers per sq. cm of sticky tape (based on the length and width of the tape).
"Crawlers / sq cm / 7 day average" - Calculation; Number of crawlers per sq. cm standardized to a 7-day period. Since sometimes tapes were collected up to 14 days after setting, number of crawlers needed to be standardized to a similar time-period. We chose 7-days, as that's the most common sampling period in our dataset.

Note that the "College Station, TX" tab has an additional column entitled "Upper/Lower" (2015); where branches were placed on upper or lower branches to determine whether population dynamics was different based on location on the tree.

The second file uploaded ("allclean.csv") contains degree-day data. Location codes closest to collection sites were used to calculate degree days assuming a lower developmental temperature threshold of 1.7, 4.4, 7.2, 10, 12.8, or 15.6ºC. The table columns explained:
DD_XXXX_#_#: DD refers to "Degree days", XXXX is the weather station code, # _ # is the lower temperature threshold for the degree day calculation (i.e. 1_7 = 1.7ºC). See publication to match location codes with trapping locations.

本数据集源自于对至少三棵树上的紫薇树皮介壳虫爬行者（Acanthococcus lagerstroemiae）进行采集，采集地点分布于七个地区，时间跨度为三年（2015年、2016年和2017年）。完整出版物：https://meridian.allenpress.com/jeh/article/38/1/8/430984/Seasonal-Population-Patterns-of-a-New-Scale-Pest

本研究旨在探究介壳虫种群的季节性种群动态。具体而言，本数据集的两个主要目标是：1）确定紫薇树上的CMBS爬行者的季节性活动；2）确定度日模型是否能够比日历日期提供对首次爬行者高峰的更精确估计。

简而言之，双面粘性胶带（宽1.905厘米）被缠绕在每棵树的若干枝条（5条或更多）上，并定期收集（通常每周一次）。每次更换新的胶带。通过解剖显微镜检查胶带，以计数爬行者数量。

在数据文件“CMBS_Obj1_mega.xls”中，每个标签页代表从不同地点收集的数据。
“设置日期” - 将胶带设置在树上的日期
“收集日期” - 从树上移除胶带的日期
“天数” - 计算；收集日期 - 设置日期。
“树号” - 用于识别特定地点内特定树的编号
“枝条ID” - 用于表示树内不同子样本（即枝条）的列。
“长度（厘米）” - 特定枝条的双面粘性胶带长度。这对应于枝条的直径。
“爬行者” - 每个样本上计数的爬行者数量。当数量接近数百时，调查人员通常会通过在坐标纸上对胶带部分进行子采样（估计）以及估计整个胶带上的爬行者数量。
“每平方厘米爬行者” - 计算；每平方厘米粘性胶带上的爬行者数量（基于胶带的长度和宽度）。
“每平方厘米/7天平均爬行者” - 计算；每平方厘米标准化至7天周期的爬行者数量。由于有时胶带是在设置后的14天内收集的，因此需要将爬行者数量标准化至相似的时间周期。我们选择了7天，因为那是我们数据集中最常见的采样周期。

请注意，“College Station, TX”标签页有一个额外的列标题“上/下”（2015年），其中枝条被放置在上部或下部枝条上，以确定种群动态是否因树上的位置而不同。

上传的第二个文件（“allclean.csv”）包含度日数据。使用接近收集地点的位置代码来计算度日，假设一个较低的开发温度阈值分别为1.7、4.4、7.2、10、12.8或15.6°C。表格列的解释如下：DD_XXXX_#_#：DD表示“度日”，XXXX是天气站代码，# _ #是度日计算中的较低温度阈值（即1_7 = 1.7°C）。请参阅出版物以匹配位置代码与捕捉地点。