five

Bird Sighting in Woodlot and Grassland

收藏
NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/Bird_Sighting_in_Woodlot_and_Grassland/1194149
下载链接
链接失效反馈
官方服务:
资源简介:
For this animal field experiment, all data were collected in York University's Keele campus woodlot and grassland on Tuesday September 30, 2014 at around 2:30PM to 5:30PM in the afternoon. The weather forecast for that time of the day was cloudy with a high of 19 degrees Celsius and a chance of rain, although during the duration of the data collection precipitation was not observed in the area (according to http://www.accuweather.com/en/ca/toronto/m5g/september-weather/55488). The laboratory section was led by Taylor Noble. For the Woodlot dataset, it was collected by Jason, Coleen, Zainab, Donna and Leron. As for the Grassland data set, this was obtained from the other lab group with the permission of Taylor due to the time constraint. For the Woodlot dataset, my group utilized a belt transect method. Since it was very difficult to lay down the transect in a straight line in the woodlot, we estimated the length to be 50 foot paces which turned out to be around 25 metres from the transect. For every trial that we performed, we used the general straight line 50 foot paces for the distance-based observation. Anything that was visible in that straight line distance on either side of the line was accounted for in the data. We also used binoculars as well as a bird guidebook to help us better identify the species detected. As for the wind speed in the woodlot, we used the Beaufort scale and chose the seaman's terminology for the description (we also asked Taylor for confirmation on our estimation on the wind speed). Lastly, we used a combination of the transect and Pythagorean's theory to calculate the distance of the bird from the observer. Similar methodology was utilized in the grassland section of the dataset, but for a more detailed set of instructions please refer to the metadata of Taylor, D, Taylor P, et al.
创建时间:
2014-10-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作