five

Data from: The effect of roads on spider monkeys’ home range and mobility in a heterogeneous regenerating forest

收藏
DataONE2017-02-20 更新2024-06-26 收录
下载链接:
https://search.dataone.org/view/null
下载链接
链接失效反馈
资源简介:
Arboreal fauna living in tropical ecosystems may be particularly affected by roads given their dependency on forest cover and the high vulnerability of such ecosystems to changes. Over a period of four years, we followed subgroups of spider monkeys living in a regenerating dry tropical forest with 8.2 km of roads within their home range. We aimed to understand whether roads shaped the home range of spider monkeys and which road features affected their movement. Only 18 percent (3 km) of the spider monkeys’ home range perimeter bordered with roads; these roads had greater habitat disparity between road sides than roads inside the home range. Although monkeys were reluctant to be close to roads, and roadside habitat contained low proportions of mature forest, spider monkeys crossed roads at 69 locations (7.5 crossings per kilometer). The main road characteristic affecting crossings was canopy opening size, with greater probability of crossing where canopy openings were smaller. Our findings support the importance of canopy opening size for road crossing of arboreal taxa, but they also indicate the relevant role roadside forest structure may have. Minimizing canopy opening size and forest disturbance along roads can facilitate the movement of arboreal fauna and preserve the important role of spider monkeys and other arboreal taxa in seed dispersal and thus the maintenance and regeneration of forest diversity.
创建时间:
2017-02-20
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

URPC系列数据集, S-URPC2019, UDD

URPC系列数据集包括URPC2017至URPC2020DL,主要用于水下目标的检测和分类。S-URPC2019专注于水下环境的特定检测任务。UDD数据集信息未在README中详细描述。

github 收录

中国区域交通网络数据集

该数据集包含中国各区域的交通网络信息,包括道路、铁路、航空和水路等多种交通方式的网络结构和连接关系。数据集详细记录了各交通节点的位置、交通线路的类型、长度、容量以及相关的交通流量信息。

data.stats.gov.cn 收录

VisDrone2019

VisDrone2019数据集由AISKYEYE团队在天津大学机器学习和数据挖掘实验室收集,包含288个视频片段共261,908帧和10,209张静态图像。数据集覆盖了中国14个不同城市的城市和乡村环境,包括行人、车辆、自行车等多种目标,以及稀疏和拥挤场景。数据集使用不同型号的无人机在各种天气和光照条件下收集,手动标注了超过260万个目标边界框,并提供了场景可见性、对象类别和遮挡等重要属性。

github 收录

YOLO-dataset

该数据集用于训练YOLO模型,包括分类、检测和姿态识别模型。目前支持v8版本,未来计划支持更多版本。

github 收录

TCIA

TCIA(The Cancer Imaging Archive)是一个公开的癌症影像数据集,包含多种癌症类型的医学影像数据,如CT、MRI、PET等。这些数据通常与临床和病理信息相结合,用于癌症研究和临床试验。

www.cancerimagingarchive.net 收录