Honeybee lifetime tracking data 2019

Data from barcode-based tracking of honeybees during summer of 2019, taken in an observation hive located at University of Konstanz, Germany. See table of experiments and manipulations performed Associated GitHub repositories: https://github.com/jacobdavidson/bees_lifetimetracking_2019data https://github.com/jacobdavidson/bees_drones_2019data Data usage example is on Github File contents: 2019_Quantity_Dates_Cohorts_DaysLived.xlsx List and description of quantities contained in the single-day summary metrics, and the metrics calculated at shorter intervals (hour, 5 minute, 1 minute). Also lists day number definitions, cohort birthdates, and estimated days lived per bee. trajectories_000-019.zip, trajectories_020-039.zip, trajectories_040-059.zip, trajectories_060-079.zip, trajectories_080-099.zip, trajectories_100-114.zip Single-day hdf files, each containing x-y trajectory data in the form: daynum framenum uid x y camera theta daynum: the day number of the observation period. See 'Day numbers' sheet in 2019_Quantity_Dates_Cohorts_DaysLived.xlsx framenum: using the camera frame rate of 3fps, the frame number with respect to that particular day uid: the Unique ID of each bee x,y: pixel coordinate values of each bee. Conversion is 80 pixels/cm camera: which camera the bee was detected on: 0=exit side (with dance floor - shown at right in comb map images), 1=back side (show at left in comb map images) theta: orientation of the bee in the hive comb-contents-images2019.zip Comb content color-coded png image files, as well as pkl files for using the comb data type (see Data Usage Example) daydatamat.csv Summary behavioral metrics calculated for each tracked bee on each day of the experiment. See 2018_Quantity_Descriptions.xlsx for full list and detail of quantities. Data is in the form: Age Day number Bee unique ID Cohort ID <metric1> <metric2> ... df_day1min.zip, df_day5min.zip, df_dayhour.zip Behavioral metrics calculated over different time intervals: 1 minute, 5 minute, or 1 hour divisions. See 2018_Quantity_Descriptions.xlsx for full list and detail of quantities. Files are organized as a single .hdf file for each day. Each file contains data in the form: Per-hour data: Age Day number Bee unique ID Cohort ID Hour <metric1> <metric2> ... 5-minute or 1-minute data: Age Day number Bee unique ID Cohort ID timedivision <metric1> <metric2> ... dfxy_dayhour.zip x-y histogram data, calculated by using a 2cmx2cm grid and binning for each hour of each day. One file per day, and each file contains data in the form: Day number Bee unique ID Cohort ID Hour hist0 hist1 ... hist1434 Convert the flattened histogram structure into a shape of [41,35] in order to view as shown in the paper or in the Data Usage Example本数据集包含2019年夏季于德国康斯坦茨大学（University of Konstanz）的观察蜂箱中获取的基于条形码标记的蜜蜂追踪数据。请参阅实验操作与处理方案表，相关GitHub仓库链接如下：https://github.com/jacobdavidson/bees_lifetimetracking_2019data 与 https://github.com/jacobdavidson/bees_drones_2019data。数据使用示例可在GitHub平台查看。 文件内容如下： 1. 2019_Quantity_Dates_Cohorts_DaysLived.xlsx：列出并说明单日汇总指标以及以更短时间间隔（小时、5分钟、1分钟）计算的行为指标，同时包含天数定义、群组出生日期以及每只蜜蜂的预估存活天数。 2. trajectories_000-019.zip、trajectories_020-039.zip、trajectories_040-059.zip、trajectories_060-079.zip、trajectories_080-099.zip、trajectories_100-114.zip：均为单日分层数据格式（Hierarchical Data Format, HDF）文件，每个文件包含x-y轨迹数据，数据字段及说明如下： - daynum：观测时段的天数编号，详见2019_Quantity_Dates_Cohorts_DaysLived.xlsx中的"Day numbers"工作表 - framenum：以相机3帧每秒（frames per second, fps）的帧率计算的对应当日的帧序号 - uid：每只蜜蜂的唯一识别码（Unique ID, UID） - x、y：每只蜜蜂的像素坐标值，坐标转换比例为80像素/厘米 - camera：检测到蜜蜂的相机编号：0为出口侧（带有舞蹈平台，在巢脾地图图像中显示为右侧），1为背面（在巢脾地图图像中显示为左侧） - theta：蜜蜂在蜂箱巢脾内的朝向角度 3. comb-contents-images2019.zip：包含带颜色编码的巢脾内容PNG图像文件，以及可用于加载巢脾数据类型的pkl文件（详见数据使用示例）。 4. daydatamat.csv：包含实验期间每只被追踪蜜蜂每日的汇总行为指标，完整的指标列表与细节可参阅2018_Quantity_Descriptions.xlsx。数据格式为：日龄、天数编号、蜜蜂唯一识别码、群组编号、<指标1> <指标2> … 5. df_day1min.zip、df_day5min.zip、df_dayhour.zip：包含以不同时间间隔（1分钟、5分钟或1小时）计算的行为指标，完整的指标列表与细节可参阅2018_Quantity_Descriptions.xlsx。文件按单日单个HDF文件组织，数据格式如下： - 按小时数据格式：日龄、天数编号、蜜蜂唯一识别码、群组编号、小时、<指标1> <指标2> … - 5分钟或1分钟数据格式：日龄、天数编号、蜜蜂唯一识别码、群组编号、时间间隔、<指标1> <指标2> … 6. dfxy_dayhour.zip：包含xy直方图数据，通过2cm×2cm网格对每日每小时的数据进行分箱计算得到。每个文件对应单日数据，格式为：天数编号、蜜蜂唯一识别码、群组编号、小时、hist0、hist1、…、hist1434。如需复现论文或数据使用示例中的可视化效果，可将扁平化的直方图结构转换为[41, 35]的形状。