five

DNA metabarcoding of corvid faecal samples|DNAmetabarcoding数据集|野生动物管理数据集

收藏
Mendeley Data2024-05-10 更新2024-06-27 收录
DNAmetabarcoding
野生动物管理
下载链接:
https://zenodo.org/records/10520128
下载链接
链接失效反馈
资源简介:
Establishing methods that allow for more focused management of wildlife under predator pressure may increase the efficiency of managing problematic predators. Non-invasive dietary analysis and identification of conservation-sensitive prey in the diet of 'culprit' predator individuals could help to facilitate this and is worthy of exploration. Recently on Phillip Island, Australia, Little Ravens Corvus mellori have emerged as a prominent predator on the clutches of burrow-nesting Little Penguins Eudyptula minor. We tested the feasibility of using non-invasive PCR approaches targeting the penguin mitochondrial 16S rRNA marker gene to establish whether penguin DNA could be detected in raven faecal samples, potentially enabling the identification of culprit ravens missed by extensive field observation. Using a metabarcoding approach, we examined the feasibility of non-invasively establishing other dietary items via high throughput amplicon sequencing. We documented components of raven diet using the universal mitochondrial 16S rRNA, insect-specific 'Chiar' 16S rRNA, and plant ITS2. The assemblage of dietary items did not differ with raven culprit status (i.e. a raven previously observed preying upon penguin), sex, or date. Penguin was detected in the diet of some individuals classified observationally as non-culprits. While some cases may conceivably have been false detections, other explanations include missed depredation events, consumption via scavenging, or consumption through secondary consumption (e.g. eating invertebrates that have consumed penguin). While this study found metabarcoding unreliable for unambiguous assigning of raven culprit status, at least as we implemented it, it may hold promise complementing observations if consumption via scavenging can be distinguished from direct depredation.
创建时间:
2024-01-18
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

PlantVillage

在这个数据集中,39 种不同类别的植物叶子和背景图像可用。包含 61,486 张图像的数据集。我们使用了六种不同的增强技术来增加数据集的大小。这些技术是图像翻转、伽玛校正、噪声注入、PCA 颜色增强、旋转和缩放。

OpenDataLab 收录

DIOR

“DIOR” 是用于光学遥感图像中对象检测的大规模基准数据集,该数据集由23,463图像和带有水平边界框注释的192,518对象实例组成。

OpenDataLab 收录

Allen Brain Atlas

Allen Brain Atlas 是一个综合性的脑图谱数据库,提供了详细的大脑解剖结构、基因表达数据、神经元连接信息等。该数据集包括了小鼠、人类和其他模式生物的大脑数据,旨在帮助研究人员理解大脑的结构和功能。

portal.brain-map.org 收录

中国农村金融统计数据

该数据集包含了中国农村金融的统计信息,涵盖了农村金融机构的数量、贷款余额、存款余额、金融服务覆盖率等关键指标。数据按年度和地区分类,提供了详细的农村金融发展状况。

www.pbc.gov.cn 收录

animelist-dataset

一个基于JSON的动漫数据集,包含了最重要的元数据以及与其他多个动漫网站(如MAL、ANIDB、ANILIST、KITSU等)的交叉引用。数据集每周更新,涵盖了从10K到100K条记录的规模,主要语言为英语和日语,标签为'anime'。

huggingface 收录