Supplementary Data supporting: "Obstacle avoidance in aerial pursuit".

Supplementary Data supporting "Obstacle avoidance in aerial pursuit" by Caroline H. Brighton, James A. Kempton, Lydia A. France, Marco KleinHeerenbrink, Sofía Miñano, and Graham K. Taylor. Published in Current Biology (2023). https://doi.org/10.1016/j.cub.2023.06.047. The zipped folder SupplementaryData.zip contains the following data files, which are readable in MATLAB (The Mathworks Inc., Natick, MA, USA) and Excel (Microsoft Inc. Redmond, WA, USA). Please see the paper for definitions and descriptions.<br>flightsOF.matThis MATLAB workspace contains data on n=231 flights without obstacles comprising the n=128 obstacle-free training flights (flights OF001 to OF128), and the n=103 obstacle-free test flights (flights OF129 to OF231). The data are contained in the following arrays:birdPosUpsampled - [X, Y, 0] horizontal position of bird; 20 kHz spline fitbirdVelupsampled - [U, V, 0] horizontal velocity of bird; 20 kHz spline fitlurePosUpsampled - [X, Y, 0] horizontal position of lure; 20 kHz spline fitlureVelupsampled - [U, V, 0] horizontal velocity of lure; 20 kHz spline fit<br>flightsWO.matThis MATLAB workspace contains data on n=155 flights with obstacles, including the n=154 obstacle test flights (flights WO001 to WO155 excluding flight WO119). The data are contained in the following arrays:birdPosUpsampled - [X, Y, 0] horizontal position of bird; 20 kHz spline fitbirdVelupsampled - [U, V, 0] horizontal velocity of bird; 20 kHz spline fitlurePosUpsampled - [X, Y, 0] horizontal position of lure; 20 kHz spline fitlureVelupsampled - [U, V, 0] horizontal velocity of lure; 20 kHz spline fitobstaclesPos - [f, X, Y, Z] XYZ positions of all obstacle markers identified in each frame (f)<br>modelFitsSummary.xlsxThis Excel spreadsheet contains summaries of the fitted models referred to in the main text, with flights numbered according to the scheme above. The tab names refer to the relevant sections of the Results.

本补充数据支撑Caroline H. Brighton、James A. Kempton、Lydia A. France、Marco KleinHeerenbrink、Sofía Miñano及Graham K. Taylor合著的论文《空中追击的避障》（Obstacle avoidance in aerial pursuit），该论文发表于《当代生物学（Current Biology）》2023年刊，DOI链接为https://doi.org/10.1016/j.cub.2023.06.047。
压缩包SupplementaryData.zip内含以下可通过MATLAB（美国马萨诸塞州内蒂克市The Mathworks Inc.）与Excel（美国华盛顿州雷德蒙德市Microsoft Inc.）读取的数据文件，相关术语定义与数据说明请参见原论文。
flightsOF.mat：此MATLAB工作区文件包含n=231次无障碍物飞行数据集，其中涵盖n=128次无障碍物训练飞行（编号OF001至OF128）与n=103次无障碍物测试飞行（编号OF129至OF231）。数据存储于以下数组中：birdPosUpsampled——格式为[X, Y, 0]，记录鸟类的水平位置，经20 kHz样条拟合；birdVelupsampled——格式为[U, V, 0]，记录鸟类的水平速度，经20 kHz样条拟合；lurePosUpsampled——格式为[X, Y, 0]，记录诱饵的水平位置，经20 kHz样条拟合；lureVelupsampled——格式为[U, V, 0]，记录诱饵的水平速度，经20 kHz样条拟合。
flightsWO.mat：此MATLAB工作区文件包含n=155次带障碍物飞行数据集，其中涵盖n=154次带障碍物测试飞行（编号WO001至WO155，不含WO119号飞行）。数据存储于以下数组中：birdPosUpsampled——格式为[X, Y, 0]，记录鸟类的水平位置，经20 kHz样条拟合；birdVelupsampled——格式为[U, V, 0]，记录鸟类的水平速度，经20 kHz样条拟合；lurePosUpsampled——格式为[X, Y, 0]，记录诱饵的水平位置，经20 kHz样条拟合；lureVelupsampled——格式为[U, V, 0]，记录诱饵的水平速度，经20 kHz样条拟合；obstaclesPos——格式为[f, X, Y, Z]，记录每一帧（f）中识别到的所有障碍物标记点的XYZ空间位置。
modelFitsSummary.xlsx：此Excel电子表格包含正文中提及的拟合模型的汇总结果，飞行编号采用前述编号规则，各工作表标签对应论文结果部分的相关章节。